Follow
Xiaojun Xu
Xiaojun Xu
ByteDance Research
Verified email at bytedance.com
Title
Cited by
Cited by
Year
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
6532017
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
X Xu, C Liu, D Song
arXiv preprint arXiv:1711.04436, 2017
3842017
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
2512021
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
1492020
RAB: Provable Robustness Against Backdoor Attacks
M Weber, X Xu, B Karlas, C Zhang, B Li
arXiv preprint arXiv:2003.08904, 2020
1162020
A Neural Stochastic Volatility Model
R Luo, W Zhang, X Xu, J Wang
AAAI 2018, 2017
732017
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
672018
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
472021
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
452021
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
452018
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
442017
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
372021
Unifed: A benchmark for federated learning frameworks
X Liu, T Shi, C Xie, Q Li, K Hu, H Kim, X Xu, B Li, D Song
arXiv preprint arXiv:2207.10308, 2022
212022
Lot: Layer-wise orthogonal training on improving l2 certified robustness
X Xu, L Li, B Li
Advances in Neural Information Processing Systems 35, 18904-18915, 2022
182022
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
182021
Characterizing malicious edges targeting on graph neural networks
X Xu, Y Yu, B Li, L Song, C Liu, C Gunter
142018
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
132020
The Trojan Detection Challenge
M Mazeika, D Hendrycks, H Li, X Xu, S Hough, A Zou, A Rajabi, Q Yao, ...
NeurIPS 2022 Competition Track, 279-291, 2022
42022
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
42022
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
42021
The system can't perform the operation now. Try again later.
Articles 1–20