HashRuler: Lightweight Detection of Anomalous Hash Codes for Backdoor Defense

Summary

HashRuler is a lightweight detection framework for backdoor attacks on deep hashing models used in large-scale image retrieval. It uses two metrics, Center Similarity Deviation (CSD) and Local Sparsity (LS), to flag poisoned samples by their hash codes, and reports up to 97% detection accuracy against the BadHash clean-label attack across diverse datasets, attack types and architectures.

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