Future Frame Prediction Using Convolutional VRNN for Anomaly Detection. - Yiwei Lu 001; K. Mahesh Kumar; Seyed Shahabeddin Nabavi; Yang Wang 003 (AVSS, 2019)

Homoglyph attack detection with unpaired data. - Yiwei Lu 001; Mahesh Kumar K.; Noman Mohammed; Yang Wang 003 (SEC, 2019)

Semantic Segmentation in Compressed Videos. - Ang Li; Yiwei Lu 001; Yang Wang 003 (MMSP, 2019)

Few-Shot Scene-Adaptive Anomaly Detection. - Yiwei Lu 001; Frank Yu; Mahesh Kumar Krishna Reddy; Yang Wang 003 (ECCV (5), 2020)

Indiscriminate Data Poisoning Attacks on Neural Networks. - Yiwei Lu 001; Gautam Kamath 001; Yaoliang Yu (Trans. Mach. Learn. Res., 2022)

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. - Mahesh Kumar Krishna Reddy; Mrigank Rochan; Yiwei Lu 001; Yang Wang 003 (IEEE Trans. Multim., 2022)

Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks. - Yiwei Lu 001; Gautam Kamath 001; Yaoliang Yu (ICML, 2023)

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. - Yiwei Lu 001; Yaoliang Yu; Xinlin Li; Vahid Partovi Nia (NeurIPS, 2023)

Exploring the Limits of Indiscriminate Data Poisoning Attacks. - Yiwei Lu 001; Gautam Kamath 001; Yaoliang Yu (CoRR, 2023)

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning. - Yiwei Lu 001; Guojun Zhang; Sun Sun 002; Hongyu Guo; Yaoliang Yu (Trans. Mach. Learn. Res., 2023)

Disguised Copyright Infringement of Latent Diffusion Models. - Yiwei Lu 001; Matthew Y. R. Yang; Zuoqiu Liu; Gautam Kamath 001; Yaoliang Yu (ICML, 2024)

Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors. - Yiwei Lu 001; Matthew Y. R. Yang; Gautam Kamath 001; Yaoliang Yu (SaTML, 2024)

Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing. - Yihan Wang; Yiwei Lu 001; Guojun Zhang; Franziska Boenisch; Adam Dziedzic; Yaoliang Yu; Xiao-Shan Gao (CoRR, 2024)

BridgePure: Revealing the Fragility of Black-box Data Protection. - Yihan Wang; Yiwei Lu 001; Xiao-Shan Gao; Gautam Kamath 001; Yaoliang Yu (CoRR, 2024)

Machine Unlearning Fails to Remove Data Poisoning Attacks. - Martin Pawelczyk; Jimmy Z. Di; Yiwei Lu 001; Gautam Kamath 001; Ayush Sekhari; Seth Neel (ICLR, 2025)

MUC: Machine Unlearning for Contrastive Learning with Black-box Evaluation. - Yihan Wang; Yiwei Lu 001; Guojun Zhang; Franziska Boenisch; Adam Dziedzic; Yaoliang Yu; Xiao-Shan Gao (Trans. Mach. Learn. Res., 2025)

Demystifying Foreground-Background Memorization in Diffusion Models. - Jimmy Z. Di; Yiwei Lu 001; Yaoliang Yu; Gautam Kamath 001; Adam Dziedzic; Franziska Boenisch (CoRR, 2025)