2 papers
cs.CV2026
Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning
Kealan Dunnett, Reza Arablouei, Dimity Miller +2
Backdoor attacks can implant malicious behaviours into deep models while preserving performance on clean data, posing a serious threat to safety-critical vision systems. Although b…
cs.CR2026
DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
Baofu Han, Bing Li, Yining Qi +4
Privacy-Preserving Federated Learning (PPFL) has emerged as a secure distributed Machine Learning (ML) paradigm that aggregates locally trained gradients without exposing raw data.…