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Jiancong Xiao
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Stability analysis and generalization bounds of adversarial training
J Xiao, Y Fan, R Sun, J Wang, ZQ Luo
NeurIPS 2022, Spotlight, 2022
422022
Adversarial rademacher complexity of deep neural networks
J Xiao, Y Fan, R Sun, ZQ Luo
arXiv preprint arXiv:2211.14966, 2022
192022
PAC-bayesian spectrally-normalized bounds for adversarially robust generalization
J Xiao, R Sun, ZQ Luo
NeurIPS 2023, 2023
15*2023
Understanding adversarial robustness against on-manifold adversarial examples
J Xiao, L Yang, Y Fan, J Wang, ZQ Luo
Pattern Recognition 159, 111071, 2022
142022
Improving Adversarial Training for Multiple Perturbations through the Lens of Uniform Stability
J Xiao, Z Qin, Y Fan, B Wu, J Wang, ZQ Luo
ICML 2023 AdvML-Frontiers Workshop, 2023
10*2023
On the algorithmic bias of aligning large language models with rlhf: Preference collapse and matching regularization
J Xiao, Z Li, X Xie, E Getzen, C Fang, Q Long, WJ Su
arXiv preprint arXiv:2405.16455, 2024
82024
Uniformly Stable Algorithms for Adversarial Training and Beyond
J Xiao, J Zhang, ZQ Luo, A Ozdaglar
ICML 2024, 2024
8*2024
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity
Z Li, C Chen, T Xu, Z Qin, J Xiao, R Sun, ZQ Luo
ICLR 2025, 2024
4*2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
J Xiao, R Sun, Q Long, WJ Su
COLT 2024, 2024
4*2024
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
R Jin, B Hou, J Xiao, WJ Su, L Shen
ICLR 2025, 2024
3*2024
Magnetic Mirror Descent Self-play Preference Optimization
M Wang, C Ma, Q Chen, L Meng, Y Han, J Xiao, Z Zhang, J Huo, WJ Su, ...
ICLR 2025, 2024
2024
Understanding Adversarially Robust Generalization: A Learning Theory Perspective
J Xiao
The Chinese University of Hong Kong, Shenzhen, 2023
2023
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Artiklar 1–12