Visa Research | Publications

: Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph

Authors: Yuxin Tang, Mangesh Bendre, and Mahashweta Das

Conference: 2024 IEEE International Conference on Big Data

Discrete-state Continuous-time Diffusion for Graph Generation

Authors: Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong

Conference: Neural Information Processing Systems (NeurIPS) 2024

Matrix Profile for Anomaly Detection on Multidimensional Time Series

Authors: Michael Yeh, Uday Singh Saini, Viv Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang, Zhuang, Yujie Fan, Huiyuan Chen, Prince Aboagye and Liang Wang

Conference: International Conference on Data Mining (ICDM) 2024

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization

Authors: Song Wang, Xiaodong Yang, Rashidul Islam and Huiyuan Chen

Conference: International Conference on Data Mining (ICDM) 2024

A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining

Authors: Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn Keogh

Conference: ACM International Conference on Information and Knowledge Management (CIKM) 2024

Revealing the Power of Masked Autoencoders in Traffic Forecasting

Authors: Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang and Girish Chowdhary

Conference: ACM International Conference on Information and Knowledge Management (CIKM) 2024

Graph Anomaly Detection with Adaptive Node Mixup

Authors: Qinghai Zhou, Yuzhong Chen, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong

Conference: ACM International Conference on Information and Knowledge Management (CIKM) 2024

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data

Authors: Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang

Conference: ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2024

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations

Authors: Xiran Fan, Minghua Xu, Huiyuan Chen, and Yuzhong Chen

Conference: Annual Meeting of the Association for Computational Linguistics (ACL) 2024

Exploring Graph Connectivity in Transformers’ Attention

Authors: Minghua Xu, Vivian Lai, Huiyuan Chen, Yan Zheng, and Michael Yeh

Conference: International ACM SIGIR Conference on Research and Development in Information Retrieval 2024

PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization

Authors: Junpeng Wang, Michael Yeh; Yujie Fan, Xin Dai, Yan Zheng, and Liang Wang

Conference: IEEE Pacific Visualization Symposium (PacificVis) 2024

Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation

Authors: Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma

Conference: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024

PaCEr: Network Embedding From Positional to Structural

Authors: Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong

Conference: WebConf (WWW) 2024

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness

Authors: Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr

Conference: WebConf (WWW) 2024

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning

Authors: Yiran Li, Junpeng Wang, Prince Aboagye, Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang and Kwan-Liu Ma

Journal: IEEE Transactions on Visualization and Computer Graphics (TVCG) 2024

Fairness without Demographics through Shared Latent Space-based Debiasing

Authors: Rashidul Islam, Huiyuan Chen and Yiwei Cai

Conference: AAAI Conference on Artificial Intelligence (AAAI-24)

: Sketching Multidimensional Time Series for Fast Discord Mining

Authors: Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, and Eamonn Keogh

Conference: IEEE BigData 2023

Time Series Synthesis Using the Matrix Profile for Anonymization

Authors: Audrey Der, Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, and Eamonn Keogh

Conference: IEEE BigData 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights

Authors: Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, and Wei Zhang

Conference: IEEE BigData 2023

Ego-Network Transformer for Subsequence Classification in Time Series Data

Authors: Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, and Eamonn Keogh

Conference: IEEE BigData 2023

FATA-Trans: Field and Time-Aware Transformer for Sequential Tabular Data

Authors: Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang and Wei Zhang

Conference: ACM International Conference on Information and Knowledge Management (CIKM) 2023

Spatial-temporal Graph Boosting Network: Enhancing Spatial-temporal Graph Neural Networks via Gradient Boosting

Authors: Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang and Wei Zhang

Conference: ACM International Conference on Information and Knowledge Management (CIKM) 2023

An Efficient Content-based Time Series Retrieval System

Authors: Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang and Jeff Phillips

Conference: ACM International Conference on Information and Knowledge Management (CIKM) 2023

Toward a Foundation Model for Time Series Data

Authors: Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang and Wei Zhang

Conference: ACM International Conference on Information and Knowledge Management (CIKM) 2023

Enhancing Transformer without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation

Authors: Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Ming Xu, Yiwei Cai, Hao Yang

Conference: ACM Conference on Recommender Systems (RecSys) 2023

Simple Yet Effective Adversarial Training for Recommendation

Authors: Huiyuan Chen, Vivian Lai, Xiaoting Li, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang

Conference: ACM Conference on Recommender Systems (RecSys) 2023

AI Decision Systems with Feedback Loop Active Learner

Authors: Mert Kosan, Linyun He, Shubham Agrawal, Yuhang Wu, Hongyi Liu, Chiranjeet Chetia

Conference: WSDM Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling (CANDLE) 2023

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization

Authors: Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff Phillips

Conference: International Conference on Learning Representations (ICLR) 2023

Kernel Ridge Regression-Based Graph Dataset Distillation

Authors: Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Conference: ACM International Conference on Knowledge Discovery and Data Mining (KDD) 2023

Node Classification Beyond Homophily: Towards a General Solution

Authors: Zhe Xu, Yuzhong Chen, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong

Conference: ACM International Conference on Knowledge Discovery and Data Mining (KDD) 2023

Knowledge Graph Question Answering with Ambiguous Query

Authors: Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang and Hanghang Tong

Conference: ACM Web Conference (WWW) 2023

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting

Authors: Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, and Wei Zhang

Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2023

VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations

Authors: Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

Journal: ACM Transactions on Interactive Intelligent Systems (TiiS) 2023

How Does Attention Work in Vision Transformers? A Visual Analytics Attempt

Authors: Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma

Conference: IEEE Pacific Visualization Symposium (PacificVis) 2023

From trainable negative depth to edge heterophily in graphs

Authors: Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong

Conference: Neural Information Processing Systems 2023 (NeuRIPS 2023)

Tackling Diverse Minorities in Imbalanced Classification

Authors: Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahasweta Das, Hao Yang, Xia Hu

Conference: International Conference on Information and Knowledge Management 2023 (CIKM 2023)

: SMARTQUERY: An Active Learning Prototype for Graph Neural Networks through Hybrid Uncertainty Reduction

Authors: Xiaoting Li, Yuhang Wu, Vineeth Rakesh Mohan, Yusan Lin, Hao Yang, Fei Wang

Conference on Information and Knowledge Management (CIKM) 2022

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces

Authors: Prince Aboagye, Yan Zheng, Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff Phillips

Association for Machine Translation in the Americas (AMTA) 2022

Denoising Self-attentive Sequential Recommendation

Authors: Huiyuan Chen, Xiaoting Li, Menghai Pan, Kaixong Zhou, Xia Hu, Hao Yang

Conference: ACM Conference on Recommender Systems (RecSys) 2022

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems

Authors: Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Michael Yeh, Yan Zheng, Hao Yang

Conference: ACM Conference on Recommender Systems (RecSys) 2022

Semi-supervised context discovery for peer-based anomaly detection in multi-layer networks

Authors: Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Zhang Yimin, Chinna Kummitha, Verma Abhisar

Conference: International Conference on Information and Communications Security (ICICS) 2022

Adversarial Graph Perturbations for Recommendations at Scale

Authors: Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang

Conference: International ACM SIGIR Conference on Research and Development in Information Retrieval 2022

Graph Convolutional Networks for Collaborative Filtering

Authors: Huiyuan Chen, Michael Yeh, Fei Wang, Hao Yang

Conference: ACM Web Conference (WWW) 2022

Normalization of Language Embeddings for Cross-Lingual Alignment

Authors: Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff Phillips

Conference: International Conference on Learning Representations (ICLR) 2022

Error-bounded Approximate Time Series Join using Compact Dictionary Representation of Time Series

Authors: Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Wei Zhang, Eamonn Keogh

Conference: SIAM International Conference on Data Mining (SDM) 2022

Multi-Task Knowledge Graph Representations via Residual Functions

Authors: Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang

Conference: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2022

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits

Authors: Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang

Conference: Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Embedding Compression with Hashing for Efficient Representation Learning in Graph

Authors: Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfan Zhuang, Junpeng Wang, Liang Wang, Wei Zhang

Conference: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series

Authors: Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn Keogh

Conference: IEEE Conference on Knowledge Graph (CKG) 2022

Dynamic Graph Node Classification via Time Augmentation

Authors: Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang

Conference: IEEE International Conference on Big Data 2022

Learning from Disagreement for Event Detection

Authors: Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang

Conference: IEEE International Conference on Big Data 2022

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine

Authors: Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang

Conference: IEEE International Conference on Big Data 2022

: Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection

Authors: Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang

Conference: IEEE BigData 2021

Merchant Category Identification Using Credit Card Transactions

Authors: Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang

Conference: IEEE International Conference on Big Data 2021

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions

Authors: Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang

Conference: ACM International WSDM Conference 2021

Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions

Authors: Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang

Conference: AAAI conference on Artificial Intelligence 2021

How Can Self-Attention Networks Recognize Dyck-n Languages?

Authors: Javid Ebrahimi, Dhruv Gelda, Wei Zhang

Conference: Conference on Empirical Methods in Natural Language Processing 2021

Investigating the Evolution of Tree Boosting Models with Visual Analytics

Authors: Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang

Conference: IEEE Pacific Visualization Symposium 2021

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

Authors: Huiyuan Chen, Lan Wang, Yusan Lin, Yeh Michael, Fei Wang, Hao Yang

Conference: International ACM SIGIR Conference on Research and Development in Information Retrieval 2021

Visual Analytics for RNN-Based Deep Reinforcement Learning

Authors: Junpeng Wang, Wei Zhang, Hao Yang, Michael Yeh, Liang Wang

Conference: IEEE Transactions on Visualization and Computer Graphics 2021

NOAH: interactive spreadsheet exploration with dynamic hierarchical overviews

Authors: Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran

Conference: International Conference on Very Large Data Bases 2021

Generalization Bounds via Distillation

Authors: Daniel Hsu, Ziwei Ji, Matus Telgarsky, Lan Wang

Conference: International Conference on Learning Representations (ICLR) 2021

Generating Large-Scale Synthetic Payment Graphs with Realistic Fraudulent and Money Laundering Patterns

Authors: Xiao Tian, Mahashweta Das, Chiranjeet Chetia

Conference: KDD Workshop on Machine Learning in Finance 2021

Adversarial Example Detection Using Latent Neighborhood Graph

Authors: Ahmed Abusnaina, Yuhang Wu, Sunpreet Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen

Conference: IEEE International Conference on Computer Vision (ICCV) 2021

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks

Authors: Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang,Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang

Conference: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021

Scalable Neural Tensor Network for Multi-Aspect Feature Interactions in Visually-Aware Recommendation

Authors: Huiyuan Chen, Yu-San Lin, Fei Wang, Hao Yang

Conference: ACM Conference on Recommender Systems (RecSys) 2021

Mining Anomalies in Subspaces of High-dimensional Time Series for Financial Transactional Data

Authors: Jingzhu He, Michael Yeh, Yanhong Wu, Liang Wang, Wei Zhang

Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2021

Constrained Non-Affine Alignment of Embeddings

Authors: Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips

Conference: IEEE International Conference on Data Mining (ICDM) 2021

: Compact: Approximating Complex Activation Functions for Secure Computation

Authors: Mazharul Islam, Sunpreet S. Arora, Rahul Chatterjee, Peter Rindal, and Maliheh Shirvanian

Conference: Privacy Enhancing Technologies Symposium (PETs) 2024

Energy Efficient Obfuscation of Side-Channel Leakage for Preventing Side-Channel Attacks

Authors: Shan Jin, Yiwei Cai, and Minghua Xu

Conference: Selected Areas in Cryptography (SAC) 2024

Exploring How Interaction Experiences Factor into Security Perception of Payment Authentication in Virtual Reality

Authors: Jingjie Li, Sunpreet Singh Arora, Kassem Fawaz, Younghyun Kim, Can Liu, Sebastian Meiser, Mohsen Minaei, Maliheh Shirvanian and Kim Wagner

Conference: IEEE Virtual Reality (VR) 2024

Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation

Authors: Sunpreet Arora, Andrew Beams, Panagiotis Chatzigiannis, Sebastian Meiser, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Harshal Shah, Yizhen Wang, Yuhang Wu, Hao Yang, Mahdi Zamani

Conference: Annual Computer Security Applications Conference (ACSAC) Web3Sec24 Workshop

: Oblivious Extractors and Improved Security in Biometric-based Authentication Systems

Authors: Ivan De Oliveira Nunes, Peter Rindal and Maliheh Shirvanian

Conference: European Symposium on Research in Computer Security (ESORICS) 2023

: Robust and Accurate Authorship Attribution via Program Normalization

Authors: Yizhen Wang, Mohannad Alhanahnah, Ke Wang, Mihai Christodorescu, Somesh Jha

Conference: Annual Conference on Neural Information Processing Systems (NeurIPS) 2022

: ARBITRAR: User-Guided API Misuse Detection

Authors: Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song

Conference: IEEE Symposium on Security and Privacy (S&P) 2021

A Hidden-Password Online Password Manager

Authors: Maliheh Shirvanian, Christopher Robert Price, Mohammed Jubur, Nitesh Saxena, Stanislaw Jarecki, Hugo Krawczyk

Conference: ACM Symposium on Applied Computing (SAC) 2021

Two-Factor Password-Authenticated Key Exchange with End-to-End Password Security

Authors: Stanislaw Jarecki, Mohammed Jubur, Hugo Krawczyk, Nitesh Saxena, Maliheh Shirvanian

Conference: ACM Transactions on Privacy and Security (TOPS) 2021

Practical Speech Re-use Prevention in Voice-driven Services

Authors: Yangyong Zhang, Sunpreet Arora, Maliheh Shirvanian, Jianwei Huang, Guofei Gu

Conference: International Symposium on Research in Attacks, Intrusions and Defenses (RAID) 2021

: A Transaction-Level Model for Blockchain Privacy

Authors: François-Xavier Wicht, Zhipeng Wang, Duc V. Le, Christian Cachin

Conference: Financial Cryptography and Data Security (FC) 2024

Towards Precise Reporting of Cryptographic Misuses

Authors: Yikang Chen, Yibo Liu, Ka Lok Wu, Duc V. Le, Sze Yiu Chau

Conference: Network and Distributed System Security (NDSS) Symposium 2024

Truncator: Time-space Tradeoff of Cryptographic Primitives

Authors: Foteini Baldimtsi, Konstantinos Chalkias, Panagiotis Chatzigiannis, Mahimna Kelkar

Conference: Financial Cryptography and Data Security (FC) 2024

Programmable Payment Channels

Authors: Yibin Yang, Mohsen Minaei, Srinivasan Raghuraman, Ranjit Kumaresan, Duc V. Le and Mahdi Zamani

Conference: International Conference on Applied Cryptography and Network Security (ACNS) 2024

A Plug-and-Play Long-Range Defense System for Proof-of-Stake Blockchains

Authors: Lucien K. L. Ng, Panos Chatzigiannis, Duc V. Le, Mohse Minaei, Ranjit Kumaresan and Mahdi Zamani

Conference: European Symposium on Research in Computer Security (ESORICS) 2024

: LucidiTEE: A TEE-Blockchain System for Policy-Compliant Multiparty Computation with Fairness

Authors: Sivanarayana Gaddam, Ranjit Kumaresan, Srinivasan Raghuraman, Rohit Sinha

Conference: Cryptology and Network Security (CANS) 2023

: WIP: Using the Future to Verify the Past

Authors: Adithya Bhat, Mohsen Minaei, Mahdi Zamani

Conference: Crypto Economics Security Conference (CESC) 2022

An Optimal Energy Efficient Design of Artificial Noise for Preventing Power Leakage based Side-Channel Attacks

Authors: Shan Jin, Minghua Xu, Riccardo Bettati, Mihai Christodorescu

Conference: IEEE International Workshop on Information Forensics and Security (WIFS) 2022

Empirical Understanding of Deletion Privacy: Experiences, Expectations, and Measures

Authors: Mohsen Minaei, Mainack Mondal, Aniket Kate

Conference: USENIX Security Symposium 2022

: Cross-Border Payments for Central Bank Digital Currencies via Universal Payment Channels

Authors: Mahdi Zamani, Erin English, Ranjit Kumaresan, Mihai Christodorescu, Wanyun Catherine Gu, Chad Harper, Cuy Sheffield, Mohsen Minaei, Srinivasan Raghuraman

Conference: Workshop on Blockchain and Smart Contract Technologies (BSCT 2021)

All your Credentials are Belong to Us: On Insecure WPA2-Enterprise Configurations

Authors: Man Hong Hue, Joyanta Debnath, Kin Man Leung, Li Li, Mohsen Minaei, M. Hammad Mazhar, Kailiang Xian, Endadul Hoque, Omar Chowdhury, Sze Yiu Chau

Conference: ACM Conference on Computer and Communications Security (CCS) 2021

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms

Authors: Mohsen Minaei, S Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate

Conference: Network and Distributed System Security (NDSS) Symposium 2021

: Quantum CCA-Secure PKE, Revisited

Authors: Navid Alamati and Varun Maram

Conference: Public-Key Cryptography (PKC) 2024

Oblivious Accumulators

Authors: Foteini Baldimtsi, Ioanna Karantaidou and Srinivasan Raghuraman

Conference: Public Key Cryptography (PKC) 2024

: On Black-Box Verifiable Outsourcing

Authors: Amit Agarwal, Navid Alamati, Dakshita Khurana, Srinivasan Raghuraman and Peter Rindal

Conference: Theory of Cryptography Conference (TCC) 2023

Efficiently Testable Circuits without Conductivity

Authors: Mirza Ahad Baig, Suvradip Chakraborty, Stefan Dziembowski, Małgorzata Gałązka, Tomasz Lizurej and Krzysztof Pietrzak

Conference: Theory of Cryptography Conference (TCC) 2023

A Plug-n-Play Framework for Scaling Private Set Intersection to Billion-sized Sets

Authors: Saikrishna Badrinarayanan, Ranjit Kumaresan, Mihai Christodorescu, Vinjith Nagaraja, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Wei Sun, and Minghua Xu

Conference: Cryptology and Network Security (CANS) 2023

Just How Fair is an Unreactive World?

Authors: Srinivasan Raghuraman, Yibin Yang

Conference: Annual International Conference on the Theory and Application of Cryptology and Information Security (ASIACRYPT) 2023

Synchronizable Fair Exchange

Authors: Ranjit Kumaresan, Srinivasan Raghuraman, and Adam Sealfon

Conference: Theory of Cryptography Conference (TCC) 2023

: Candidate Trapdoor Claw-Free Functions from Group Actions with Applications to Quantum Protocols

Authors: Navid Alamati, Giulio Malavolta, Ahmadreza Rahimi

Conference: Theory of Cryptography Conference (TCC) 2022

Cryptographic Primitives with Hinting Property

Authors: Navid Alamati, Sikhar Patranabis

Conference: International Conference on the Theory and Application of Cryptology and Information Security (ASIACRYPT) 2022

Secret-Shared Joins with Multiplicity from Aggregation Trees

Authors: Saikrishna Badrinarayanan, Sourav Das, Gayathri Garimella, Srinivasan Raghuraman, Peter Rindal

Conference: ACM Conference on Computer and Communications Security (CCS) 2022

Blazing Fast PSI from Improved OKVS and Subfield VOLE

Authors: Srinivasan Raghuraman, Peter Rindal

Conference: ACM Conference on Computer and Communications Security (CCS) 2022

Updatable Private Set Intersection

Authors: Saikrishna Badrinarayanan, Piehan Miao, Tiancheng Xie

Conference: Privacy Enhancing Technologies Symposium (PETS) 2022

MEOT: Efficient and Tight Oblivious Transfer from PKE with Tight Multi-User Security

Authors: Saikrishna Badrinarayanan, Daniel Masny, Pratyay Mukherjee

Conference: Applied Cryptography and Network Security (ACNS) 2022

A More Complete Analysis of the Signal Double Ratchet Algorithm

Authors: Alexander Bienstock, Jaiden Fairoze, Sanjam Garg, Pratyay Mukherjee, Srinivasan Raghuraman

Conference: International Conference on the Theory and Applications of Cryptographic Techniques (EUROCRYPT) 2022

On the Quantum Security of OCB

Authors: Varun Maram, Daniel Masny, Sikhar Patranabis, Srinivasan Raghuraman

Conference: Transactions on Symmetric Cryptology (ToSC) 2022

: Reducing HSM Reliance in Payments through Proxy Re-Encryption

Authors: Sivanarayana Gaddam, Atul Luykx, Rohit Sinha, Gaven Watson

Conference: USENIX Security Symposium 2021

Multi-Party Threshold Private Set Intersection with Sublinear Communication

Authors: Peihan Miao, Peter Rindal, Saikrishna Badrinarayanan

Conference: International Conference on Practice and Theory of Public-Key Cryptography (PKC) 2021

BETA: Biometric Enabled Threshold Authentication

Authors: Shashank Agrawal, Saikrishna Badrinarayanan, Payman Mohassel, Pratyay Mukherjee, and Sikhar Patranabis

Conference: International Conference on Practice and Theory of Public-Key Cryptography (PKC) 2021

VOLE-PSI: Fast OPRF and Circuit-PSI from Vector-OLE

Authors: Peter Rindal, Phillipp Schoppmann

Conference: International Conference on the Theory and Applications of Cryptographic Techniques (EUROCRYPT) 2021

Amortized Threshold Symmetric-key Encryption

Authors: Mihai Christodorescu, Sivanarayana Gaddam, Pratyay Mukherjee, and Rohit Sinha

Conference: ACM Conference on Computer and Communications Security (CCS) 2021

On Removing Rejection Conditions in Practical Lattice-based Signatures

Authors: Rouzbeh Behnia, Yilei Chen, and Daniel Masny

Conference: International Conference on Post Quantum Cryptography (PQCrypto) 2021

A PKI-based Framework for Establishing Efficient MPC Channels

Authors: Daniel Masny, Gaven Watson

Conference: ACM Conference on Computer and Communications Security (CCS) 2021

Two-Round Adaptively Secure MPC from Isogenies, LPN, or CDH

Authors: Navid Alamati, Hart Montgomery, Sikhar Patranabis, Pratik Sarkar

Conference: International Conference on the Theory and Application of Cryptology and Information Security (ASIACRYPT) 2021

Laconic Private Set Intersection and Applications

Authors: Navid Alamati, Pedro Branco, Nico Döttling, Sanjam Garg, Mohammad Hajiabadi, Sihang Pu

Conference: Theory of Cryptography Conference (TCC) 2021

Silver: Silent VOLE and Oblivious Transfer from Hardness of Decoding Structured LDPC Codes

Authors: Geoffroy Couteau, Peter Rindal, Srinivasan Raghuraman

Conference: Annual International Cryptology Conference (CRYPTO) 2021

Publications

Featured publications

Artificial intelligence

Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph

Matrix Profile for Anomaly Detection on Multidimensional Time Series

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization

A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining

Revealing the Power of Masked Autoencoders in Traffic Forecasting

Graph Anomaly Detection with Adaptive Node Mixup

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations

Exploring Graph Connectivity in Transformers’ Attention

PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization

Simple Yet Effective Adversarial Training for Recommendation

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting

Adversarial Graph Perturbations for Recommendations at Scale

Graph Convolutional Networks for Collaborative Filtering

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions

Investigating the Evolution of Tree Boosting Models with Visual Analytics

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

Visual Analytics for RNN-Based Deep Reinforcement Learning

Generating Large-Scale Synthetic Payment Graphs with Realistic Fraudulent and Money Laundering Patterns

Scalable Neural Tensor Network for Multi-Aspect Feature Interactions in Visually-Aware Recommendation

Mining Anomalies in Subspaces of High-dimensional Time Series for Financial Transactional Data

Systems security

Digital currencies

WIP: Using the Future to Verify the Past

All your Credentials are Belong to Us: On Insecure WPA2-Enterprise Configurations

Advanced cryptography