| On the amplification of security and privacy risks by post-hoc explanations in machine learning models P Quan, S Chakraborty, JV Jeyakumar, M Srivastava arXiv preprint arXiv:2206.14004, 2022 | 8 | 2022 |
| Hard-label black-box adversarial attack on deep electrocardiogram classifier J Lam, P Quan, J Xu, JV Jeyakumar, M Srivastava Proceedings of the 1st ACM International Workshop on Security and Safety for …, 2020 | 6 | 2020 |
| Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation W Chen, Z Wang, P Quan, Z Peng, S Lin, M Srivastava, W Matusik, ... Proceedings of the 36th Annual ACM Symposium on User Interface Software and …, 2023 | 5 | 2023 |
| Efficient optimization methods for extreme similarity learning with nonlinear embeddings B Yuan, YS Li, P Quan, CJ Lin Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 2 | 2021 |
| Making Vibration-based On-body Interaction Robust W Chen, Z Wang, P Quan, Z Peng, S Lin, M Srivastava, J Stankovic 2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS …, 2022 | 1 | 2022 |
| Towards imperceptible query-limited adversarial attacks with perceptual feature fidelity loss P Quan, R Guo, M Srivastava arXiv preprint arXiv:2102.00449, 2021 | 1 | 2021 |
| Supervised anomaly detection in federated learning WH Lee, P Quan, M Srivatsa, C Liu US Patent App. 17/823,555, 2024 | | 2024 |
| Enhancing Robustness in Federated Learning by Supervised Anomaly Detection P Quan, WH Lee, M Srivatsa, M Srivastava 2022 26th International Conference on Pattern Recognition (ICPR), 996-1003, 2022 | | 2022 |
| Exploiting Human Perception for Adversarial Attacks P Quan University of California, Los Angeles, 2020 | | 2020 |
| Calculating Gauss-Newton Matrix-Vector Product by Vector-Jacobian Products P Quan | | 2019 |
Mani SrivastavaProfessor of Electrical & Computer Engineering, and Professor of Computer Science, UCLA在 ucla.edu 的电子邮件经过验证
