| Metamorphic testing of deep learning compilers D Xiao, Z Liu, Y Yuan, Q Pang, S Wang Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (1 …, 2022 | 25 | 2022 |
| Byzantine-robust federated learning with optimal statistical rates B Zhu, L Wang, Q Pang, S Wang, J Jiao, D Song, MI Jordan International Conference on Artificial Intelligence and Statistics, 3151-3178, 2023 | 23* | 2023 |
| {PrivGuard}: Privacy regulation compliance made easier L Wang, U Khan, J Near, Q Pang, J Subramanian, N Somani, P Gao, ... 31st USENIX Security Symposium (USENIX Security 22), 3753-3770, 2022 | 20 | 2022 |
| MDPFuzz: Testing Models Solving Markov Decision Processes Q Pang, Y Yuan, S Wang Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2021 | 19* | 2021 |
| Automated Side Channel Analysis of Media Software with Manifold Learning Y Yuan, Q Pang, S Wang 31st USENIX Security Symposium (USENIX Security 22), 4419-4436, 2022 | 12 | 2022 |
| Towards practical differentially private causal graph discovery L Wang, Q Pang, D Song Advances in Neural Information Processing Systems 33, 5516-5526, 2020 | 12 | 2020 |
| Unveiling hidden dnn defects with decision-based metamorphic testing Y Yuan, Q Pang, S Wang Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 11 | 2022 |
| Secure federated correlation test and entropy estimation Q Pang, L Wang, S Wang, W Zheng, D Song International Conference on Machine Learning, 26990-27010, 2023 | 9* | 2023 |
| Revisiting neuron coverage for dnn testing: A layer-wise and distribution-aware criterion Y Yuan, Q Pang, S Wang 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 9 | 2023 |
| Noleaks: Differentially private causal discovery under functional causal model P Ma, Z Ji, Q Pang, S Wang IEEE Transactions on Information Forensics and Security 17, 2324-2338, 2022 | 8 | 2022 |
| ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems Q Pang, Y Yuan, S Wang, W Zheng arXiv preprint arXiv:2201.02775, 2022 | 8* | 2022 |
| {mID}: Tracing screen photos via {Moiré} patterns Y Cheng, X Ji, L Wang, Q Pang, YC Chen, W Xu 30th USENIX Security Symposium (USENIX Security 21), 2969-2986, 2021 | 8 | 2021 |
| Enhancing deep neural networks testing by traversing data manifold Y Yuan, Q Pang, S Wang arXiv preprint arXiv:2112.01956, 2021 | 7 | 2021 |
| BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers Q Pang, J Zhu, H Möllering, W Zheng, T Schneider Cryptology ePrint Archive, 2023 | 5 | 2023 |
| Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing Y Yuan, Q Pang, S Wang IEEE Transactions on Software Engineering, 2024 | 1 | 2024 |
| Attacking LLM Watermarks by Exploiting Their Strengths Q Pang, S Hu, W Zheng, V Smith arXiv preprint arXiv:2402.16187, 2024 | 1 | 2024 |
| Detecting and Repairing Deviated Outputs of Compressed Models Y Li, Q Pang, D Xiao, Z Liu, S Wang Asian Conference on Machine Learning, 707-722, 2024 | | 2024 |
| MPCDIFF: Testing and Repairing MPC-Hardened Deep Learning Models Q Pang, Y Yuan, S Wang | | |
Shuai WangThe Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
