| Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning H Chaudhari, R Rachuri, A Suresh 27th Annual Network and Distributed System Security Symposium, (NDSS 2020), 2020 | 232 | 2020 |
| ABY2. 0: Improved Mixed-Protocol Secure Two-Party Computation A Patra, T Schneider, A Suresh, H Yalame 30th USENIX Security Symposium (USENIX Security 21), 2165-2182, 2021 | 231 | 2021 |
| BLAZE: Blazing Fast Privacy-Preserving Machine Learning A Patra, A Suresh 27th Annual Network and Distributed System Security Symposium (NDSS 2020), 2020 | 197 | 2020 |
| FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning M Byali, H Chaudhari, A Patra, A Suresh Privacy Enhancing Technologies (PoPETS 2020) 2020 (2), 459-480, 2020 | 159 | 2020 |
| ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction H Chaudhari, A Choudhury, A Patra, A Suresh 2019 ACM SIGSAC Conference on Cloud Computing Security Workshop (ACM CCSW …, 2019 | 145 | 2019 |
| SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning N Koti, M Pancholi, A Patra, A Suresh 30th USENIX Security Symposium (USENIX Security 21), 2651-2668, 2021 | 128 | 2021 |
| Tetrad: Actively Secure 4PC for Secure Training and Inference N Koti, A Patra, R Rachuri, A Suresh 29th Annual Network and Distributed System Security Symposium, NDSS 2022, 2022 | 66 | 2022 |
| SafeFL: MPC-friendly framework for private and robust federated learning T Gehlhar, F Marx, T Schneider, A Suresh, T Wehrle, H Yalame 2023 IEEE Security and Privacy Workshops (SPW), 69-76, 2023 | 28 | 2023 |
| Fast Actively Secure OT Extension for Short Secrets A Patra, P Sarkar, A Suresh 24th Annual Network and Distributed System Security Symposium, (NDSS 2017), 2017 | 27 | 2017 |
| FLUTE: fast and secure lookup table evaluations A Brüggemann, R Hundt, T Schneider, A Suresh, H Yalame 2023 IEEE Symposium on Security and Privacy (SP), 515-533, 2023 | 20 | 2023 |
| Scionfl: Efficient and robust secure quantized aggregation Y Ben-Itzhak, H Möllering, B Pinkas, T Schneider, A Suresh, O Tkachenko, ... 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 490-511, 2024 | 18* | 2024 |
| SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation A Patra, T Schneider, A Suresh, H Yalame IEEE International Symposium on Hardware Oriented Security and Trust (HOST 2021), 2021 | 16 | 2021 |
| MPClan: Protocol suite for privacy-conscious computations N Koti, S Patil, A Patra, A Suresh Journal of Cryptology 36 (3), 22, 2023 | 15 | 2023 |
| MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning A Suresh PhD Thesis, 2021 | 14 | 2021 |
| Privacy-Preserving Epidemiological Modeling on Mobile Graphs D Günther, M Holz, B Judkewitz, H Möllering, B Pinkas, T Schneider, ... Cryptology ePrint Archive 1546 (2020), 2020 | 14* | 2020 |
| Comments on “privacy-enhanced federated learning against poisoning adversaries” T Schneider, A Suresh, H Yalame IEEE Transactions on Information Forensics and Security 18, 1407-1409, 2023 | 11 | 2023 |
| WW-FL: Secure and Private Large-Scale Federated Learning F Marx, T Schneider, A Suresh, T Wehrle, C Weinert, H Yalame | 6* | 2023 |
| Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater A Brüggemann, O Schick, T Schneider, A Suresh, H Yalame 2024 IEEE Symposium on Security and Privacy (SP), 164-164, 2024 | 5* | 2024 |
| PrivMail: A Privacy-Preserving Framework for Secure Emails GR Chandran, R Nieminen, T Schneider, A Suresh European Symposium on Research in Computer Security, 145-165, 2023 | 3 | 2023 |
| MPCLeague: Robust and Efficient Mixed‐protocol Framework for 4‐party Computation N Koti, A Patra, A Suresh Distributed and Private Machine Learning (DPML), ICLR Workshop, 2021 | 2* | 2021 |
Arpita PatraAssociate Professor, Dept. of Computer Science & Automation, Indian Institute of ScienceVerified email at iisc.ac.in
