Articles with public access mandates - Shiqing MaLearn more
Not available anywhere: 2
To what extent do dnn-based image classification models make unreliable inferences?
Y Tian, S Ma, M Wen, Y Liu, SC Cheung, X Zhang
Empirical Software Engineering 26 (5), 84, 2021
Mandates: US National Science Foundation, US Office of the Director of National …
Programming support for autonomizing software
WC Lee, P Liu, Y Liu, S Ma, X Zhang
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019
Mandates: US National Science Foundation, US Department of Defense
Available somewhere: 52
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Office of the Director of National Intelligence, National Natural Science …
Nic: Detecting adversarial samples with neural network invariant checking
S Ma, Y Liu
Proceedings of the 26th network and distributed system security symposium …, 2019
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Office of the Director of National Intelligence, Helmholtz Association …
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation
{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
Mandates: US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense, US Office of the …
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
Mandates: US National Science Foundation, US Department of Defense, National Natural …
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense, US Office of the …
{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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Office of the Director of National Intelligence
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
Mandates: US National Science Foundation, US Department of Defense, National Natural …
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
Mandates: US National Science Foundation, US Department of Defense, US Office of the …
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