Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Characterizing Privacy-Audit Alignment in Behavioral Audit of Machine Unlearning
Liou Tang, James Joshi, Ashish Kundu
The removal of learned data from Machine Learning models through Machine Unlearning (MU) has been widely studied; however, there is no agreed-upon scheme for auditing MU. Existing…
cs.LG2025
Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine Unlearning
Liou Tang, James Joshi, Ashish Kundu
Machine Unlearning (MU) aims to update Machine Learning (ML) models following requests to remove training samples and their influences on a trained model efficiently without retrai…