Tag: adversarial robustness
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Robust Neural Operators with Active Learning & Denoising
Enhance neural operator robustness using synergistic active learning and input denoising to reduce adversarial errors and improve safety-critical system re...
Dense Associative Memory: Finite-Size and Robustness Analysis
Explore finite-size guarantees and adversarial robustness in Dense Associative Memory, enhancing neural network efficiency and reliability.
GF-Score: Fair, Certified Robustness Evaluation per Class
Discover GF-Score, an attack-free framework for certified class-wise robustness evaluation with fairness metrics to ensure balanced neural network security...
Robust Object Representation with Two-Stage Vision Transformers
Discover how two-stage Vision Transformers and hard masking improve object representation robustness against contextual biases and out-of-distribution data...
WARP: Guaranteed Inner-Layer Repair for NLP Transformers
Discover WARP, a novel method ensuring guaranteed inner-layer repair and enhanced robustness for NLP Transformer models against adversarial attacks.