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Yu-Xiang Wang
Yu-Xiang Wang
1
Affiliations
Affiliations
UC Santa Barbara
29
papers
989
total citations
papers (29)
Provable Robust Watermarking for AI-Generated Text
ICLR 2024
arXiv
279
citations
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
NEURIPS 2023
arXiv
103
citations
Weak-to-Strong Jailbreaking on Large Language Models
ICML 2025
arXiv
95
citations
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
NEURIPS 2021
arXiv
88
citations
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
NEURIPS 2021
arXiv
71
citations
Mixed Differential Privacy in Computer Vision
CVPR 2022
arXiv
56
citations
Differentially Private Bias-Term Fine-tuning of Foundation Models
ICML 2024
arXiv
55
citations
Differentially Private Linear Sketches: Efficient Implementations and Applications
NEURIPS 2022
arXiv
37
citations
Logarithmic Regret in Feature-based Dynamic Pricing
NEURIPS 2021
arXiv
31
citations
Offline Reinforcement Learning with Differential Privacy
NEURIPS 2023
arXiv
29
citations
CPR: Retrieval Augmented Generation for Copyright Protection
CVPR 2024
arXiv
26
citations
Privately Publishable Per-instance Privacy
NEURIPS 2021
arXiv
19
citations
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
NEURIPS 2021
arXiv
19
citations
Optimal Dynamic Regret in LQR Control
NEURIPS 2022
arXiv
18
citations
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
NEURIPS 2023
arXiv
15
citations
Adaptive Online Estimation of Piecewise Polynomial Trends
NEURIPS 2020
arXiv
13
citations
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
ICML 2024
arXiv
8
citations
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
NEURIPS 2023
arXiv
8
citations
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
NEURIPS 2023
arXiv
6
citations
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
ICML 2024
arXiv
4
citations
Pricing with Contextual Elasticity and Heteroscedastic Valuation
ICML 2024
arXiv
3
citations
Purifying Approximate Differential Privacy with Randomized Post-processing
NEURIPS 2025
arXiv
2
citations
Privacy Profiles for Private Selection
ICML 2024
arXiv
2
citations
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
ICML 2024
arXiv
2
citations
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
NEURIPS 2020
0
citations
Private-kNN: Practical Differential Privacy for Computer Vision
CVPR 2020
0
citations
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
NEURIPS 2022
0
citations
A Privacy-Friendly Approach to Data Valuation
NEURIPS 2023
0
citations
Improving Sparse Vector Technique with Renyi Differential Privacy
NEURIPS 2020
0
citations
