| Evaluating differentially private machine learning in practice B Jayaraman, D Evans 28th USENIX Security Symposium (USENIX Security 19), 1895-1912, 2019 | 636 | 2019 |
| Distributed learning without distress: Privacy-preserving empirical risk minimization B Jayaraman, L Wang, D Evans, Q Gu Advances in neural information processing systems 31, 2018 | 206 | 2018 |
| Revisiting membership inference under realistic assumptions B Jayaraman, L Wang, K Knipmeyer, Q Gu, D Evans arXiv preprint arXiv:2005.10881, 2020 | 157 | 2020 |
| An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024 | 58 | 2024 |
| Efficient privacy-preserving stochastic nonconvex optimization L Wang, B Jayaraman, D Evans, Q Gu Uncertainty in Artificial Intelligence, 2203-2213, 2023 | 58 | 2023 |
| Are attribute inference attacks just imputation? B Jayaraman, D Evans Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 48 | 2022 |
| Privacy preserving string matching for cloud computing B Bezawada, AX Liu, B Jayaraman, AL Wang, R Li 2015 IEEE 35th International Conference on Distributed Computing Systems …, 2015 | 35 | 2015 |
| Decentralized certificate authorities B Jayaraman, H Li, D Evans arXiv preprint arXiv:1706.03370, 2017 | 24 | 2017 |
| Detecting vague words & phrases in requirements documents in a multilingual environment BD Cruz, B Jayaraman, A Dwarakanath, C McMillan 2017 IEEE 25th International requirements engineering conference (RE), 233-242, 2017 | 19 | 2017 |
| Aggregating private sparse learning models using multi-party computation L Tian, B Jayaraman, Q Gu, D Evans NIPS Workshop on Private Multi-Party Machine Learning, 2016 | 17 | 2016 |
| When relaxations go bad:“differentially-private” machine learning B Jayaraman, D Evans arXiv preprint arXiv:1902.08874, 2019 | 14 | 2019 |
| Test automation using multiple programming languages A Dwarakanath, D Era, SB NURE, N Dubash, S Podder, A Priyadarshi, ... US Patent 10,339,036, 2019 | 13 | 2019 |
| Rim Assouel F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen …, 2024 | 12 | 2024 |
| Combing for credentials: Active pattern extraction from smart reply B Jayaraman, E Ghosh, M Chase, S Roy, W Dai, D Evans 2024 IEEE Symposium on Security and Privacy (SP), 1443-1461, 2024 | 6 | 2024 |
| Active data pattern extraction attacks on generative language models B Jayaraman, E Ghosh, H Inan, M Chase, S Roy, W Dai arXiv preprint arXiv:2207.10802, 2022 | 5 | 2022 |
| Automated term extraction A Dwarakanath, A Priyadarshi, B Anand, BM Tummalapalli, B Jayaraman, ... US Patent 10,152,474, 2018 | 5 | 2018 |
| D\'ej\a Vu Memorization in Vision-Language Models B Jayaraman, C Guo, K Chaudhuri arXiv preprint arXiv:2402.02103, 2024 | 4 | 2024 |
| Automated functional diagram generation A Dwarakanath, A Priyadarshi, B Anand, BM Tummalapalli, B Jayaraman, ... US Patent 10,198,430, 2019 | 4 | 2019 |
| Automated term extraction A Dwarakanath, A Priyadarshi, B Anand, BM Tummalapalli, B Jayaraman, ... US Patent 10,534,861, 2020 | 1 | 2020 |
| Measuring Dejavu Memorization Efficiently N Kokhlikyan, B Jayaraman, F Bordes, C Guo, K Chaudhuri Advances in Neural Information Processing Systems 37, 30015-30040, 2024 | | 2024 |
David EvansUniversity of Virginia, Computer Scienceכתובת אימייל מאומתת בדומיין virginia.edu