most citedThe WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

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cs.CR2025

SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications

Joshua Lee, Ali Arastehfard, Weiran Liu +2

Autonomous driving and V2X technologies have developed rapidly in the past decade, leading to improved safety and efficiency in modern transportation. These systems interact with e…

cs.CR2025

Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective

Nima Naderloui, Shenao Yan, Binghui Wang +4

Machine unlearning focuses on efficiently removing specific data from trained models, addressing privacy and compliance concerns with reasonable costs. Although exact unlearning en…