| Trojaning attack on neural networks Y Liu, S Ma, Y Aafer, WC Lee, J Zhai, W Wang, X Zhang 25th Annual Network And Distributed System Security Symposium (NDSS 2018), 2018 | 1362 | 2018 |
| Abs: Scanning neural networks for back-doors by artificial brain stimulation Y Liu, WC Lee, G Tao, S Ma, Y Aafer, X Zhang Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 473 | 2019 |
| Nic: Detecting adversarial samples with neural network invariant checking S Ma, Y Liu Proceedings of the 26th network and distributed system security symposium …, 2019 | 317 | 2019 |
| Composite backdoor attack for deep neural network by mixing existing benign features J Lin, L Xu, Y Liu, X Zhang Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020 | 217 | 2020 |
| MODE: automated neural network model debugging via state differential analysis and input selection S Ma, Y Liu, WC Lee, X Zhang, A Grama Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 213 | 2018 |
| Attacks meet interpretability: Attribute-steered detection of adversarial samples G Tao, S Ma, Y Liu, X Zhang Advances in neural information processing systems 31, 2018 | 196 | 2018 |
| Deep feature space trojan attack of neural networks by controlled detoxification S Cheng, Y Liu, S Ma, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1148-1156, 2021 | 154 | 2021 |
| Backdoor scanning for deep neural networks through k-arm optimization G Shen, Y Liu, G Tao, S An, Q Xu, S Cheng, S Ma, X Zhang International Conference on Machine Learning, 9525-9536, 2021 | 115 | 2021 |
| Better trigger inversion optimization in backdoor scanning G Tao, G Shen, Y Liu, S An, Q Xu, S Ma, P Li, X Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 74 | 2022 |
| Piccolo: Exposing complex backdoors in nlp transformer models Y Liu, G Shen, G Tao, S An, S Ma, X Zhang 2022 IEEE Symposium on Security and Privacy (SP), 2025-2042, 2022 | 71 | 2022 |
| Complex backdoor detection by symmetric feature differencing Y Liu, G Shen, G Tao, Z Wang, S Ma, X Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 52 | 2022 |
| Model orthogonalization: Class distance hardening in neural networks for better security G Tao, Y Liu, G Shen, Q Xu, S An, Z Zhang, X Zhang 2022 IEEE Symposium on Security and Privacy (SP), 1372-1389, 2022 | 49 | 2022 |
| Black-box adversarial sample generation based on differential evolution J Lin, L Xu, Y Liu, X Zhang Journal of Systems and Software 170, 110767, 2020 | 39 | 2020 |
| Constrained optimization with dynamic bound-scaling for effective nlp backdoor defense G Shen, Y Liu, G Tao, Q Xu, Z Zhang, S An, S Ma, X Zhang International Conference on Machine Learning, 19879-19892, 2022 | 37 | 2022 |
| LAMP: data provenance for graph based machine learning algorithms through derivative computation S Ma, Y Aafer, Z Xu, WC Lee, J Zhai, Y Liu, X Zhang Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017 | 35 | 2017 |
| Fault localization for null pointer exception based on stack trace and program slicing S Jiang, W Li, H Li, Y Zhang, H Zhang, Y Liu 2012 12th International Conference on Quality Software, 9-12, 2012 | 27 | 2012 |
| Trader: Trace divergence analysis and embedding regulation for debugging recurrent neural networks G Tao, S Ma, Y Liu, Q Xu, X Zhang Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 16 | 2020 |
| White-box program tuning WC Lee, Y Liu, P Liu, S Ma, H Choi, X Zhang, R Gupta 2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019 | 10 | 2019 |
| Mitigating the dependence confounding effect for effective predicate-based statistical fault localization X Wang, S Jiang, X Ju, H Cao, Y Liu 2015 IEEE 39th Annual Computer Software and Applications Conference 2, 105-114, 2015 | 6 | 2015 |
| Deck: Model hardening for defending pervasive backdoors G Tao, Y Liu, S Cheng, S An, Z Zhang, Q Xu, G Shen, X Zhang arXiv preprint arXiv:2206.09272, 2022 | 5 | 2022 |
