Yuanshun Yao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Sensitive Attributes

Empirical Analysis

Facial Recognition

Differentially Private

Top Venues

Publications

Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
Fair Classifiers that Abstain without Harm. ICLR (2024)
Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu
Toward Optimal LLM Alignments Using Two-Player Games. CoRR (2024)
Xiaojun Xu, Yuanshun Yao, Yang Liu
Learning to Watermark LLM-generated Text via Reinforcement Learning. CoRR (2024)
Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu
Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting. CoRR (2024)
Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu
Human-Instruction-Free LLM Self-Alignment with Limited Samples. CoRR (2024)
Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu
Label Smoothing Improves Machine Unlearning. CoRR (2024)
Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR (2024)
Wei Shen, Xiaoying Zhang, Yuanshun Yao, Rui Zheng, Hongyi Guo, Yang Liu
Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards. CoRR (2024)
Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu
Rethinking Machine Unlearning for Large Language Models. CoRR (2024)
Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI (2023)
Zhujun Xiao, Jenna Cryan, Yuanshun Yao, Yi Hong Gordon Cheo, Yuanchao Shu, Stefan Saroiu, Ben Y. Zhao, Haitao Zheng
"My face, my rules": Enabling Personalized Protection Against Unacceptable Face Editing. Proc. Priv. Enhancing Technol. 2023 (3) (2023)
Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML (2023)
Yuanshun Yao, Xiaojun Xu, Yang Liu
Large Language Model Unlearning. CoRR (2023)
Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. CoRR (2023)
Tongxin Yin, Jean-François Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
Fair Classifiers that Abstain without Harm. CoRR (2023)
Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun
Label Inference Attack against Split Learning under Regression Setting. CoRR (2023)
Yuanshun Yao, Yang Liu
Understanding Unfairness via Training Concept Influence. CoRR (2023)
Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. CoRR (2022)
Yuanshun Yao, Chong Wang, Hang Li
Learning to Counterfactually Explain Recommendations. CoRR (2022)
Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang
Differentially Private Label Protection in Split Learning. CoRR (2022)
Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
Differentially Private Multi-Party Data Release for Linear Regression. CoRR (2022)
Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
Differentially private multi-party data release for linear regression. UAI (2022)
Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
Differentially Private AUC Computation in Vertical Federated Learning. CoRR (2022)
Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li
Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR (2022)
Yuanshun Yao, Chong Wang, Hang Li
Counterfactually Evaluating Explanations in Recommender Systems. CoRR (2022)
Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
DPAUC: Differentially Private AUC Computation in Federated Learning. CoRR (2022)
Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
Backdoor Attacks Against Deep Learning Systems in the Physical World. CVPR (2021)
Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang
Defending against Reconstruction Attack in Vertical Federated Learning. CoRR (2021)
Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
Vertical Federated Learning without Revealing Intersection Membership. CoRR (2021)
Emily Wenger, Josephine Passananti, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
Backdoor Attacks on Facial Recognition in the Physical World. CoRR (2020)
Yuanshun Yao, Huiying Li, Haitao Zheng, Ben Y. Zhao
Latent Backdoor Attacks on Deep Neural Networks. CCS (2019)
Yuanshun Yao, Huiying Li, Haitao Zheng, Ben Y. Zhao
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks. CoRR (2019)
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks. IEEE Symposium on Security and Privacy (2019)
Bolun Wang, Yuanshun Yao, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning. USENIX Security Symposium (2018)
Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng
Object Recognition and Navigation using a Single Networking Device. MobiSys (2017)
Yuanshun Yao, Zhujun Xiao, Bolun Wang, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
Complexity vs. performance: empirical analysis of machine learning as a service. Internet Measurement Conference (2017)
Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng, Ben Y. Zhao
Automated Crowdturfing Attacks and Defenses in Online Review Systems. CoRR (2017)
Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng, Ben Y. Zhao
Automated Crowdturfing Attacks and Defenses in Online Review Systems. CCS (2017)
Zhijing Li, Ana Nika, Xinyi Zhang, Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng
Identifying Value in Crowdsourced Wireless Signal Measurements. WWW (2017)
Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous
A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. SDM (2016)