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Pengrui Quan
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Year
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
72022
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
62020
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
32023
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
12022
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
12021
Towards imperceptible query-limited adversarial attacks with perceptual feature fidelity loss
P Quan, R Guo, M Srivastava
arXiv preprint arXiv:2102.00449, 2021
12021
SUPERVISED ANOMALY DETECTION IN FEDERATED LEARNING
W 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
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Articles 1–10