Yiwei Lu

According to our database, Yiwei Lu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BridgePure: Revealing the Fragility of Black-box Data Protection.

Yihan Wang, Yiwei Lu, Xiao-Shan Gao, Gautam Kamath, Yaoliang Yu

CoRR, 2024

Machine Unlearning Fails to Remove Data Poisoning Attacks.

Martin Pawelczyk, Jimmy Z. Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel

CoRR, 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

CoRR, 2024

Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors.

Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Disguised Copyright Infringement of Latent Diffusion Models.

Yiwei Lu, Matthew Y. R. Yang, Zuoqiu Liu, Gautam Kamath, Yaoliang Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning.

Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu

Trans. Mach. Learn. Res., 2023

Exploring the Limits of Indiscriminate Data Poisoning Attacks.

Yiwei Lu, Gautam Kamath, Yaoliang Yu

CoRR, 2023

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers.

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks.

Yiwei Lu, Gautam Kamath, Yaoliang Yu

Proceedings of the International Conference on Machine Learning, 2023

2022

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting.

Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang

IEEE Trans. Multim., 2022

Indiscriminate Data Poisoning Attacks on Neural Networks.

Yiwei Lu, Gautam Kamath, Yaoliang Yu

Trans. Mach. Learn. Res., 2022

2020

Few-Shot Scene-Adaptive Anomaly Detection.

Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Semantic Segmentation in Compressed Videos.

Ang Li, Yiwei Lu, Yang Wang

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Homoglyph attack detection with unpaired data.

Yiwei Lu, Mahesh Kumar K., Noman Mohammed, Yang Wang

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Future Frame Prediction Using Convolutional VRNN for Anomaly Detection.

Yiwei Lu, K. Mahesh Kumar, Seyed Shahabeddin Nabavi, Yang Wang

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019