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Xiaojun Xu
Xiaojun Xu
Bestätigte E-Mail-Adresse bei illinois.edu
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Zitiert von
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Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
X Xu, C Liu, Q Feng, H Yin, L Song, D Song
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
4572017
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
X Xu, C Liu, D Song
arXiv preprint arXiv:1711.04436, 2017
2982017
Detecting AI trojans using meta neural analysis
X Xu, Q Wang, H Li, N Borisov, CA Gunter, B Li
2021 IEEE Symposium on Security and Privacy (SP), 103-120, 2021
1182021
QEBA: Query-Efficient Boundary-Based Blackbox Attack
H Li, X Xu, X Zhang, S Yang, B Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
712020
RAB: Provable Robustness Against Backdoor Attacks
M Weber, X Xu, B Karlas, C Zhang, B Li
arXiv preprint arXiv:2003.08904, 2020
652020
A Neural Stochastic Volatility Model
R Luo, W Zhang, X Xu, J Wang
AAAI 2018, 2017
552017
Fooling Vision and Language Models Despite Localization and Attention Mechanism
X Xu, X Chen, C Liu, A Rohrbach, T Darrell, D Song
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
462018
Can you fool AI with adversarial examples on a visual Turing test?
X Xu, X Chen, C Liu, A Rohrbach, T Darell, D Song
arXiv preprint arXiv:1709.08693, 2017
392017
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
H Li, X Xu, C Liu, T Ren, K Wu, X Cao, W Zhang, Y Yu, D Song
2018 IEEE Symposium on Security and Privacy (SP), 53-69, 2018
382018
Tss: Transformation-specific smoothing for robustness certification
L Li, M Weber, X Xu, L Rimanic, B Kailkhura, T Xie, C Zhang, B Li
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
232021
Provable robust learning based on transformation-specific smoothing
L Li, M Weber, X Xu, L Rimanic, T Xie, C Zhang, B Li
arXiv preprint arXiv:2002.12398 4, 2020
142020
Trs: Transferability reduced ensemble via promoting gradient diversity and model smoothness
Z Yang, L Li, X Xu, S Zuo, Q Chen, P Zhou, B Rubinstein, C Zhang, B Li
Advances in Neural Information Processing Systems 34, 17642-17655, 2021
132021
On the Certified Robustness for Ensemble Models and Beyond
Z Yang, L Li, X Xu, B Kailkhura, T Xie, B Li
arXiv preprint arXiv:2107.10873, 2021
132021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
Z Yang, L Li, X Xu, S Zuo, Q Chen, B Rubinstein, C Zhang, B Li
arXiv preprint arXiv:2104.00671, 2021
72021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
H Li, L Li, X Xu, X Zhang, S Yang, B Li
International Conference on Artificial Intelligence and Statistics, 3142-3150, 2021
62021
Nonlinear Gradient Estimation for Query Efficient Blackbox Attack
H Li, L Li, X Xu, X Zhang, S Yang, B Li
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
32021
EDoG: Adversarial Edge Detection For Graph Neural Networks
X Xu, Y Yu, L Song, C Liu, B Kailkhura, C Gunter, B Li
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020
32020
Characterizing Adversarial Transferability via Gradient Orthogonality and Smoothness
Z Yang, L Li, X Xu, S Zuo, Q Chen, B Rubinstein, C Zhang, B Li
ICML 2020 Workshop on Uncertainty and Robustness in Deep Learnin, 2020
12020
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
X Xu, JY Zhang, E Ma, HH Son, S Koyejo, B Li
International Conference on Machine Learning, 24770-24802, 2022
2022
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