Yunhui Long - RankMe

24 papers A* 6A 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	SoK: Privacy-Preserving Data Synthesis. SP Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2023	J	`jnl`	SoK: Privacy-Preserving Data Synthesis. CoRR Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2023	A*	`conf`	Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li
2022	A*	`conf`	LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis. SP Fan Wu, Yunhui Long, Ce Zhang, Bo Li
2022	J	`jnl`	Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. CoRR Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li
2022	J	`jnl`	SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination. CoRR Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li
2022	—	`conf`	SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination. ECCV (5) Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li
2022	J	`jnl`	Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. CoRR Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li
2021	A*	`conf`	DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CCS Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021	J	`jnl`	DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CoRR Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021	A*	`conf`	G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators. NeurIPS Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
2021	J	`jnl`	LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis. CoRR Fan Wu, Yunhui Long, Ce Zhang, Bo Li
2020	—	`conf`	A Hypothesis Testing Approach to Sharing Logs with Confidence. CODASPY Yunhui Long, Le Xu, Carl A. Gunter
2020	A	`conf`	A Pragmatic Approach to Membership Inferences on Machine Learning Models. EuroS&P Yunhui Long, Lei Wang, Diyue Bu, Vincent Bindschaedler, Xiaofeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen
2020	—	`—`	Understanding and mitigating privacy risk in machine learning systems Yunhui Long
2019	—	`conf`	BEEER: distributed record and replay for medical devices in hospital operating rooms. HotSoS Avesta Hojjati, Yunhui Long, Soteris Demetriou, Carl A. Gunter
2019	J	`jnl`	Scalable Differentially Private Generative Student Model via PATE. CoRR Yunhui Long, Suxin Lin, Zhuolin Yang, Carl A. Gunter, Bo Li
2019	J	`jnl`	Secure Two-Party Feature Selection. CoRR Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres
2018	A*	`conf`	CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition. USENIX Security Symposium Xuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang, Xiaofeng Wang, Carl A. Gunter
2018	J	`jnl`	CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition. CoRR Xuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang, Xiaofeng Wang, Carl A. Gunter
2018	J	`jnl`	Distributed and Secure ML with Self-tallying Multi-party Aggregation. CoRR Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl A. Gunter
2018	J	`jnl`	Understanding Membership Inferences on Well-Generalized Learning Models. CoRR Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, Xiaofeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen
2017	J	`jnl`	Towards Measuring Membership Privacy. CoRR Yunhui Long, Vincent Bindschaedler, Carl A. Gunter
2013	—	`conf`	A fast polarimeter calibration method using vector projection algorithm. ICAIT Mingyang Lv, Yunhui Long, Qianyun Zhang, Xinyu Sheng, Li Xu, Hang Guo, Wenbo Zhang, Xiaoguang Zhang