DeBias-Attack corrects surrogate-specific bias in adversarial gradients for VLP models by subtracting the projection from a reference branch optimized on weak-semantic images.
Revisiting transferable adversarial image examples: Attack categorization, evaluation guidelines, and new insights,
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Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias Correction
DeBias-Attack corrects surrogate-specific bias in adversarial gradients for VLP models by subtracting the projection from a reference branch optimized on weak-semantic images.