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 | 1428 | 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 | 499 | 2019 |
Badnl: Backdoor attacks against nlp models with semantic-preserving improvements X Chen, A Salem, D Chen, M Backes, S Ma, Q Shen, Z Wu, Y Zhang Proceedings of the 37th Annual Computer Security Applications Conference …, 2021 | 385 | 2021 |
Dynamic backdoor attacks against machine learning models A Salem, R Wen, M Backes, S Ma, Y Zhang 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 703-718, 2022 | 329 | 2022 |
Nic: Detecting adversarial samples with neural network invariant checking S Ma, Y Liu Proceedings of the 26th network and distributed system security symposium …, 2019 | 322 | 2019 |
Protracer: Towards practical provenance tracing by alternating between logging and tainting S Ma, X Zhang, D Xu 23rd Annual Network And Distributed System Security Symposium (NDSS 2016), 2016 | 254 | 2016 |
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 | 220 | 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 | 200 | 2018 |
Hercule: Attack story reconstruction via community discovery on correlated log graph K Pei, Z Gu, B Saltaformaggio, S Ma, F Wang, Z Zhang, L Si, X Zhang, ... Proceedings of the 32Nd Annual Conference on Computer Security Applications …, 2016 | 198 | 2016 |
{ATLAS}: A sequence-based learning approach for attack investigation A Alsaheel, Y Nan, S Ma, L Yu, G Walkup, ZB Celik, X Zhang, D Xu 30th USENIX security symposium (USENIX security 21), 3005-3022, 2021 | 190 | 2021 |
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 | 172 | 2021 |
Profuzzer: On-the-fly input type probing for better zero-day vulnerability discovery W You, X Wang, S Ma, J Huang, X Zhang, XF Wang, B Liang 2019 IEEE symposium on security and privacy (SP), 769-786, 2019 | 152 | 2019 |
{MPI}: Multiple perspective attack investigation with semantic aware execution partitioning S Ma, J Zhai, F Wang, KH Lee, X Zhang, D Xu 26th USENIX Security Symposium (USENIX Security 17), 1111-1128, 2017 | 142 | 2017 |
MCI: Modeling-based Causality Inference in Audit Logging for Attack Investigation. Y Kwon, F Wang, W Wang, KH Lee, WC Lee, S Ma, X Zhang, D Xu, S Jha, ... NDSS 2, 4, 2018 | 137 | 2018 |
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 | 121 | 2021 |
Accurate, low cost and instrumentation-free security audit logging for windows S Ma, KH Lee, CH Kim, J Rhee, X Zhang, D Xu Proceedings of the 31st Annual Computer Security Applications Conference …, 2015 | 101 | 2015 |
Bppattack: Stealthy and efficient trojan attacks against deep neural networks via image quantization and contrastive adversarial learning Z Wang, J Zhai, S Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 99 | 2022 |
{Kernel-Supported}{Cost-Effective} Audit Logging for Causality Tracking S Ma, J Zhai, Y Kwon, KH Lee, X Zhang, G Ciocarlie, A Gehani, ... 2018 USENIX Annual Technical Conference (USENIX ATC 18), 241-254, 2018 | 92 | 2018 |
Correlations between deep neural network model coverage criteria and model quality S Yan, G Tao, X Liu, J Zhai, S Ma, L Xu, X Zhang Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 86 | 2020 |
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 | 81 | 2022 |