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cs.LG2026
Exponential-Family Membership Inference: From LiRA and RMIA to BaVarIA
Rickard Brännvall
Membership inference attacks (MIAs) are becoming standard tools for auditing the privacy of machine learning models. The leading attacks -- LiRA (Carlini et al., 2022) and RMIA (Za…
cs.LG2026
Client-Conditional Federated Learning via Local Training Data Statistics
Rickard Brännvall
Federated learning (FL) under data heterogeneity remains challenging: existing methods either ignore client differences (FedAvg), require costly cluster discovery (IFCA), or mainta…