A fast polarimeter calibration method using vector projection algorithm. - Mingyang Lv; Yunhui Long; Qianyun Zhang; Xinyu Sheng; Li Xu; Hang Guo; Wenbo Zhang 005; Xiaoguang Zhang 001 (ICAIT, 2013)

Towards Measuring Membership Privacy. - Yunhui Long; Vincent Bindschaedler; Carl A. Gunter (CoRR, 2017)

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition. - Xuejing Yuan; Yuxuan Chen; Yue Zhao 018; Yunhui Long; Xiaokang Liu; Kai Chen 012; Shengzhi Zhang; Heqing Huang 001; Xiaofeng Wang 006; Carl A. Gunter (USENIX Security Symposium, 2018)

Understanding Membership Inferences on Well-Generalized Learning Models. - Yunhui Long; Vincent Bindschaedler; Lei Wang; Diyue Bu; Xiaofeng Wang 006; Haixu Tang; Carl A. Gunter; Kai Chen 012 (CoRR, 2018)

Distributed and Secure ML with Self-tallying Multi-party Aggregation. - Yunhui Long; Tanmay Gangwani; Haris Mughees; Carl A. Gunter (CoRR, 2018)

BEEER: distributed record and replay for medical devices in hospital operating rooms. - Avesta Hojjati; Yunhui Long; Soteris Demetriou; Carl A. Gunter (HotSoS, 2019)

Secure Two-Party Feature Selection. - Vanishree Rao; Yunhui Long; Hoda Eldardiry; Shantanu Rane; Ryan A. Rossi; Frank Torres (CoRR, 2019)

Scalable Differentially Private Generative Student Model via PATE. - Yunhui Long; Suxin Lin; Zhuolin Yang; Carl A. Gunter; Bo Li 026 (CoRR, 2019)

A Hypothesis Testing Approach to Sharing Logs with Confidence. - Yunhui Long; Le Xu; Carl A. Gunter (CODASPY, 2020)

A Pragmatic Approach to Membership Inferences on Machine Learning Models. - Yunhui Long; Lei Wang; Diyue Bu; Vincent Bindschaedler; XiaoFeng Wang 001; Haixu Tang; Carl A. Gunter; Kai Chen 012 (EuroS&P, 2020)

Understanding and mitigating privacy risk in machine learning systems - Yunhui Long (2020)

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. - Boxin Wang; Fan Wu 011; Yunhui Long; Luka Rimanic; Ce Zhang 001; Bo Li 026 (CCS, 2021)

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators. - Yunhui Long; Boxin Wang; Zhuolin Yang; Bhavya Kailkhura; Aston Zhang; Carl A. Gunter; Bo Li 026 (NeurIPS, 2021)

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination. - Zhuowen Yuan; Fan Wu 011; Yunhui Long; Chaowei Xiao; Bo Li 026 (ECCV (5), 2022)

LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis. - Fan Wu 011; Yunhui Long; Ce Zhang 001; Bo Li 026 (SP, 2022)

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. - Chulin Xie; Zhong Cao; Yunhui Long; Diange Yang; Ding Zhao; Bo Li 026 (CoRR, 2022)

Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. - Chulin Xie; Yunhui Long; Pin-Yu Chen; Bo Li 026 (CoRR, 2022)

Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. - Chulin Xie; Yunhui Long; Pin-Yu Chen; Qinbin Li; Sanmi Koyejo; Bo Li 026 (CCS, 2023)

SoK: Privacy-Preserving Data Synthesis. - Yuzheng Hu; Fan Wu 011; Qinbin Li; Yunhui Long; Gonzalo Munilla Garrido; Chang Ge 002; Bolin Ding; David A. Forsyth; Bo Li 026; Dawn Song (SP, 2024)