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2020 – today
- 2024
[c13]Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu:
Fair Classifiers that Abstain without Harm. ICLR 2024- [i26]Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu:
Human-Instruction-Free LLM Self-Alignment with Limited Samples. CoRR abs/2401.06785 (2024) - [i25]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 abs/2402.08787 (2024) - [i24]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 abs/2402.10412 (2024) - [i23]Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu:
Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR abs/2402.12789 (2024) - [i22]Wei Shen, Xiaoying Zhang, Yuanshun Yao, Rui Zheng, Hongyi Guo, Yang Liu:
Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards. CoRR abs/2403.07708 (2024) - [i21]Xiaojun Xu, Yuanshun Yao, Yang Liu:
Learning to Watermark LLM-generated Text via Reinforcement Learning. CoRR abs/2403.10553 (2024) - [i20]Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu:
Label Smoothing Improves Machine Unlearning. CoRR abs/2406.07698 (2024) - [i19]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 abs/2406.10977 (2024) - 2023
- [j1]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): 252-267 (2023) - [c12]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI 2023: 15170-15178 - [c11]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu:
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML 2023: 43258-43288 - [i18]Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun:
Label Inference Attack against Split Learning under Regression Setting. CoRR abs/2301.07284 (2023) - [i17]Yuanshun Yao, Yang Liu:
Understanding Unfairness via Training Concept Influence. CoRR abs/2306.17828 (2023) - [i16]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 abs/2308.05374 (2023) - [i15]Tongxin Yin, Jean-François Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu:
Fair Classifiers that Abstain without Harm. CoRR abs/2310.06205 (2023) - [i14]Yuanshun Yao, Xiaojun Xu, Yang Liu:
Large Language Model Unlearning. CoRR abs/2310.10683 (2023) - 2022
- [c10]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: 2128-2137 - [i13]Yuanshun Yao, Chong Wang, Hang Li:
Counterfactually Evaluating Explanations in Recommender Systems. CoRR abs/2203.01310 (2022) - [i12]Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang:
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. CoRR abs/2203.01451 (2022) - [i11]Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang:
Differentially Private Label Protection in Split Learning. CoRR abs/2203.02073 (2022) - [i10]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
Differentially Private AUC Computation in Vertical Federated Learning. CoRR abs/2205.12412 (2022) - [i9]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 abs/2206.07998 (2022) - [i8]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. CoRR abs/2208.12294 (2022) - [i7]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li:
Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR abs/2210.03175 (2022) - [i6]Yuanshun Yao, Chong Wang, Hang Li:
Learning to Counterfactually Explain Recommendations. CoRR abs/2211.09752 (2022) - 2021
- [c9]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: 6206-6215 - [i5]Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang:
Vertical Federated Learning without Revealing Intersection Membership. CoRR abs/2106.05508 (2021) - [i4]Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang:
Defending against Reconstruction Attack in Vertical Federated Learning. CoRR abs/2107.09898 (2021) - 2020
- [i3]Emily Wenger, Josephine Passananti, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao:
Backdoor Attacks on Facial Recognition in the Physical World. CoRR abs/2006.14580 (2020)
2010 – 2019
- 2019
- [c8]Yuanshun Yao, Huiying Li, Haitao Zheng, Ben Y. Zhao:
Latent Backdoor Attacks on Deep Neural Networks. CCS 2019: 2041-2055 - [c7]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: 707-723 - [i2]Yuanshun Yao, Huiying Li, Haitao Zheng, Ben Y. Zhao:
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks. CoRR abs/1905.10447 (2019) - 2018
- [c6]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: 1281-1297 - 2017
- [c5]Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng, Ben Y. Zhao:
Automated Crowdturfing Attacks and Defenses in Online Review Systems. CCS 2017: 1143-1158 - [c4]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: 384-397 - [c3]Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng:
Object Recognition and Navigation using a Single Networking Device. MobiSys 2017: 265-277 - [c2]Zhijing Li, Ana Nika, Xinyi Zhang, Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng:
Identifying Value in Crowdsourced Wireless Signal Measurements. WWW 2017: 607-616 - [i1]Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng, Ben Y. Zhao:
Automated Crowdturfing Attacks and Defenses in Online Review Systems. CoRR abs/1708.08151 (2017) - 2016
- [c1]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: 162-170
Coauthor Index
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last updated on 2024-08-15 23:49 CEST by the dblp team
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