Peter Rindal

Staff Research Scientist

Research Areas: Cryptography, Privacy Enhancing Technologies, and Distributed Computing

Peter Rindal, Visa Research scientist.

Biography

Dr. Peter Rindal joined Visa Research as a Staff Research Scientist in September 2018. Peter received his Ph.D. in Cryptography from Oregon State University in 2018, specializing in secure multi-party computation and privacy preserving machine learning. His Ph.D. thesis focused on private set intersection, which allows two parties to compare sets of encrypted data (e.g., identifying common friends in encrypted contact lists). Prior to joining Visa, Peter was a Consultant at Microsoft, and a Software Analyst at Boeing.  

As a member of the Cryptography team, his research interests are in cryptography, privacy enhancing technologies and distributed computing. He has published eleven papers in several international conferences and journals, including Association for Computing Machinery Conference on Computer and Communications Security (CCS), Privacy Enhancing Technologies Symposium (PETS), Eurocrypt and others. 

Conferences

  1. Boyle, E., Couteau, G., Gilboa. N., Ishai, Y., Kohl, L., Rindal, P., Scholl ,P. (2019). Efficient Two-Round OT Extension and Silent Non-Interactive Secure Computation. ACM Conference on Computer and Communications Security.
  2. Mohassel, P., Rindal, P., Rosulek, M. (2019). Fast Database Joins for Secret Shared Data. IACR ePrint.
  3. Mansy, D., Rindal, P. (2019). Endemic Oblivious Transfer. ACM Conference on Computer and Communications Security.
  4. Groce, A, Rindal, P., Rosulek, M. (2019). Cheaper Private Set Intersection via Differentially Private Leakage. The 19th Privacy Enhancing Technologies Symposium.
  5. Gilad-Bachrach, R., Laine, K., Lauter, K., Rindal, P., Rosulek, M. (2019). Secure Data Exchange: A Marketplace in the Cloud. The ACM Cloud Computing Security Workshop.
  6. Agrawal, S., Mohassel, P., Mukherjee, P., Rindal, P. (2018). DiSE: distributed symmetric-key encryption. ACM Conference on Computer and Communications Security.
  7. Mohassel, P., & Rindal, P. (2018). ABY3: A Mixed Protocol Framework for Machine Learning. ACM Conference on Computer and Communications Security.
  8. Chen, H., Huang, Z., Laine, K., & Rindal, P. (2018). Labeled PSI from Fully Homomorphic Encryption with Malicious Security. ACM SIGSAC Conference on Computer and Communications Security.
  9. Agrawal, S., Mohassel, P., Mukherjee, P., & Rindal, P. (2018). DiSE: Distributed Symmetric-key Encryption. ACM Conference on Computer and Communications Security.
  10. Demmler, D., Rindal, P., Rosulek, M., & Trieu, N. (2018). PIR-PSI: Scaling Private Contact Discovery. Proceedings on Privacy Enhancing Technologies, 2018(4), 159–178.
  11. Rindal, P., & Rosulek, M. (2017). Malicious-Secure Private Set Intersection via Dual Execution. ACM SIGSAC Conference on Computer and Communications Security.
  12. Chen, H., Laine, K., & Rindal, P. (2017). Fast Private Set Intersection from Homomorphic Encryption. ACM SIGSAC Conference on Computer and Communications Security.
  13. Rindal, P., & Rosulek, M. (2017). Improved Private Set Intersection Against Malicious Adversaries. Eurocrypt.
  14. Çetin, G. S., Chen, H., Laine, K., Lauter, K., Rindal, P., & Xia, Y. (2017). Private queries on encrypted genomic data. BMC Medical Genomics, 10(S2).
  15. Rindal, P., & Rosulek, M. (2016). Faster Malicious 2-Party Secure Computation with Online/Offline Dual Execution. USENIX Security Symposium, 297.