| Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning R Rachuri, A Suresh, H Chaudhari NDSS Symposium 2020, 2019 | 224* | 2019 |
| Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits D Escudero, S Ghosh, M Keller, R Rachuri, P Scholl Advances in Cryptology–CRYPTO 2020: 40th Annual International Cryptology …, 2020 | 152 | 2020 |
| Tetrad: Actively Secure 4PC for Secure Training and Inference N Koti, A Patra, R Rachuri, A Suresh NDSS Symposium 2022, 2021 | 62 | 2021 |
| Le Mans: Dynamic and Fluid MPC for Dishonest Majority R Rachuri, P Scholl Advances in Cryptology–CRYPTO 2022: 42nd Annual International Cryptology …, 2022 | 19 | 2022 |
| Cheater identification on a budget: MPC with identifiable abort from pairwise macs C Baum, N Melissaris, R Rachuri, P Scholl Annual International Cryptology Conference, 454-488, 2024 | 3 | 2024 |
| Ramen: Souper fast three-party computation for ram programs L Braun, M Pancholi, R Rachuri, M Simkin Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 3 | 2023 |
| Adversarial Attacks and Countermeasures on Private Training in MPC D Escudero, M Jagielski, R Rachuri, P Scholl PPML@ NeurIPS, 2021 | 3 | 2021 |
| Modeling confirmation bias through egoism and trust in a multi agent system SR Pericherla, R Rachuri, S Rao 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 2 | 2018 |
| Practical Multiparty Computation R Rachuri | | |
Peter SchollAarhus University在 cs.au.dk 的电子邮件经过验证
