| Pufferfish privacy mechanisms for correlated data S Song, Y Wang, K Chaudhuri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 203 | 2017 |
| Analyzing the robustness of nearest neighbors to adversarial examples Y Wang, S Jha, K Chaudhuri International Conference on Machine Learning, 5133-5142, 2018 | 187 | 2018 |
| Data poisoning attacks against online learning Y Wang, K Chaudhuri arXiv preprint arXiv:1808.08994, 2018 | 106 | 2018 |
| Adversarial example detection using latent neighborhood graph A Abusnaina, Y Wu, S Arora, Y Wang, F Wang, H Yang, D Mohaisen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 102 | 2021 |
| Robustness for non-parametric classification: A generic attack and defense YY Yang, C Rashtchian, Y Wang, K Chaudhuri International Conference on Artificial Intelligence and Statistics, 941-951, 2020 | 57 | 2020 |
| Privacy-preserving financial anomaly detection via federated learning & multi-party computation S Arora, A Beams, P Chatzigiannis, S Meiser, K Patel, S Raghuraman, ... 2024 Annual Computer Security Applications Conference Workshops (ACSAC …, 2024 | 17 | 2024 |
| Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations A Abusnaina, Y Wang, S Arora, K Wang, M Christodorescu, D Mohaisen arXiv preprint arXiv:2310.03285, 2023 | 9 | 2023 |
| Robust Learning against Relational Adversaries Y Wang, M Alhanahnah, X Meng, K Wang, M Christodorescu, S Jha Advances in Neural Information Processing Systems 2022, 2022 | 9 | 2022 |
| An Investigation of Data Poisoning Defenses for Online Learning Y Wang, S Jha, K Chaudhuri arXiv preprint arXiv:1905.12121, 2019 | 9 | 2019 |
| SLVR: Securely Leveraging Client Validation for Robust Federated Learning J Choi, SR Rachuri, K Wang, S Jha, Y Wang arXiv preprint arXiv:2502.08055, 2025 | | 2025 |
Kamalika ChaudhuriFAIR @ MetaVerified email at ucsd.edu
