Lu, Yiwei

15 publications

NeurIPS 2025 BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Yihan Wang, Yiwei Lu, Xiao-Shan Gao, Gautam Kamath, Yaoliang Yu

TMLR 2025 MUC: Machine Unlearning for Contrastive Learning with Black-Box Evaluation Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao

ICLR 2025 Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk, Jimmy Z. Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel

ICMLW 2024 Alignment Calibration: Machine Unlearning for Contrastive Learning Under Auditing Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao

ICML 2024 Disguised Copyright Infringement of Latent Diffusion Models Yiwei Lu, Matthew Y. R. Yang, Zuoqiu Liu, Gautam Kamath, Yaoliang Yu

ICMLW 2024 On the Robustness of Neural Networks Quantization Against Data Poisoning Attacks Yiwei Lu, Yihan Wang, Guojun Zhang, Yaoliang Yu

TMLR 2023 $f$-MICL: Understanding and Generalizing InfoNCE-Based Contrastive Learning Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu

ICMLW 2023 CM-GAN: Stabilizing GAN Training with Consistency Models Haoye Lu, Yiwei Lu, Dihong Jiang, Spencer Ryan Szabados, Sun Sun, Yaoliang Yu

ICML 2023 Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks Yiwei Lu, Gautam Kamath, Yaoliang Yu

NeurIPS 2023 Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

TMLR 2022 Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu, Gautam Kamath, Yaoliang Yu

NeurIPSW 2022 Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu, Gautam Kamath, Yaoliang Yu

NeurIPSW 2022 Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu, Gautam Kamath, Yaoliang Yu

ECCV 2020 Few-Shot Scene-Adaptive Anomaly Detection Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang

AAAI 2019 Similarity Learning via Kernel Preserving Embedding Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu