Introduces an attack-agnostic black-box defense for SSL encoders that trains a conditional energy function via NCE and DSM to detect and purify representations, with an energy gap lower-bounded by mutual information.
Similarity of processing steps in vision model representa- tions.arXiv preprint arXiv:2601.21621, 2026
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The Platonic Defense: Backdoor Defense for Self-Supervised Encoders in the Era of Large Scale Pre-training
Introduces an attack-agnostic black-box defense for SSL encoders that trains a conditional energy function via NCE and DSM to detect and purify representations, with an energy gap lower-bounded by mutual information.