Yiwei Lu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Feature Extractors

Diffusion Models

Top Venues

Trans. Mach. Learn. Res.

Publications

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. CoRR (2024)
Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing. CoRR (2024)
Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors. SaTML (2024)
Yiwei Lu, Matthew Y. R. Yang, Zuoqiu Liu, Gautam Kamath, Yaoliang Yu
Disguised Copyright Infringement of Latent Diffusion Models. CoRR (2024)
Martin Pawelczyk, Jimmy Z. Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel
Machine Unlearning Fails to Remove Data Poisoning Attacks. CoRR (2024)
Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors. CoRR (2024)
Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu
f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning. Trans. Mach. Learn. Res. 2023 (2023)