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Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
Paper • 2510.22785 • Published • 1 -
Navigating the Trade-off: A Synthesis of Defensive Strategies for Zero-Shot Adversarial Robustness in Vision-Language Models
Paper • 2508.05237 • Published • 1 -
T-VSS: Test-Time Visual Subspace Steering for Adversarial Robustness of Vision-Language Models
Paper • 2606.23132 • Published • 1 -
TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models
Paper • 2512.16523 • Published
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