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cs.LG2026
Learning Defensive Policies against Diverse Inference Attacks for Smart Meter Privacy
Ruichang Zhang, Mustafa A. Mustafa
Smart meter (SM) data provides fine-grained visibility into household energy consumption, but also exposes users to privacy risks. Inference attacks, known as non-intrusive load mo…
cs.CR2026
FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement
Fatima Z. Abacha, Sin G. Teo, Yuanxiang Wu +2
Federated Learning remains highly susceptible to backdoor attacks--malicious clients inject targeted behaviours into the global model. Existing defenses suffer from substantial fal…
cs.SE2026
Specification Vibing for Automated Program Repair
Taohong Zhu, Lucas C. Cordeiro, Mustafa A. Mustafa +1
Large language model (LLM)-driven automated program repair (APR) has advanced rapidly, but most methods remain code-centric: they directly rewrite source code and thereby risk hall…