2025
Distill To Detect: Amplifying Anomalies in Backdoor Models through Knowledge Distillation
ICASSP 2025accepted
Backdoor attacks represent a significant threat to the security of deep learning models. Due to the stealthiness of backdoor attacks, effectively detecting whether a model has been compromised by such attacks remains a major challenge. Previous backdoor detection methods either rely on backdoor data…