Publications

* denotes equal contribution.

Reliability

Reliability and safety of LLM-based evaluation systems.

COLM 2026

Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges

Ruomeng Ding*, Yifei Pang*, He Sun, Yizhong Wang, Steven Wu, Zhun Deng

AI Privacy

Machine unlearning, membership inference, and data reconstruction.

NeurIPS 2025

Rethinking Exact Unlearning under Exposure: Extracting Forgotten Data under Exact Unlearning in Large Language Models

Xiaoyu Wu, Yifei Pang, Terrance Liu, Steven Wu

Theory and Practice of Differential Privacy 2025

Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis

Xiaoyu Wu, Yifei Pang, Terrance Liu, Steven Wu

NeurIPS 2024 Workshop on Behavioral ML

A New Approach to Generate Individual Level Data of Walled Garden Platforms: Linear Programming Reconstruction

Yifei Pang, Sreenidhi Ganachari, Yuan Yuan, Steven Wu, Xiaojing Dong, Jin Xu, Zhenyu Yan

Network Security (Path Validation)

Secure and efficient multipath validation algorithms.

IEEE Transactions on Dependable and Secure Computing · 2026

SwiftOracle: Orthogonality-driven Private Multipath Validation

Yifei Pang, Anxiao He, Wenjie Hou, Yunyi Teng, Kai Bu, Qianping Gu, Kui Ren

IEEE Transactions on Dependable and Secure Computing · 2023

SwiftParade: Anti-burst Multipath Validation

Anxiao He, Kai Bu, Jiongrui Huang, Yifei Pang, Qianping Gu, Kui Ren