Shiqing Ma
Cited by
Cited by
Trojaning attack on neural networks
Y Liu, S Ma, Y Aafer, WC Lee, J Zhai, W Wang, X Zhang
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
Nic: Detecting adversarial samples with neural network invariant checking
S Ma, Y Liu, G Tao, WC Lee, X Zhang
26th Annual Network And Distributed System Security Symposium (NDSS 2019), 2019
Protracer: Towards Practical Provenance Tracing by Alternating Between Logging and Tainting.
S Ma, X Zhang, D Xu
NDSS 2, 4, 2016
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
Annual Computer Security Applications Conference, 554-569, 2021
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
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
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
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
MPI: Multiple Perspective Attack Investigation with Semantic Aware Execution Partitioning.
S Ma, J Zhai, F Wang, KH Lee, X Zhang, D Xu
USENIX Security Symposium, 1111-1128, 2017
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
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
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
Colo: Coarse-grained lock-stepping virtual machines for non-stop service
YZ Dong, W Ye, YH Jiang, I Pratt, SQ Ma, J Li, HB Guan
Proceedings of the 4th annual Symposium on Cloud Computing, 1-16, 2013
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
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
Automatic model generation from documentation for Java API functions
J Zhai, J Huang, S Ma, X Zhang, L Tan, J Zhao, F Qin
Proceedings of the 38th International Conference on Software Engineering …, 2016
SLF: Fuzzing without valid seed inputs
W You, X Liu, S Ma, D Perry, X Zhang, B Liang
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
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
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
USENIX Security Symposium, 3005-3022, 2021
The system can't perform the operation now. Try again later.
Articles 1–20