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adversarial robustness

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Papers

ReMoE: Region-Mixture Experts for Adversarially-Robust Vision Transformers CVPR 2026 Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning AAAI 2026 Robust Bayesian Decision Making under Adversarial Uncertainty UAI 2026 Robust Spiking Neural Networks by Temporal Mutual Information CVPR 2026 SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation AAAI 2026 SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication AAAI 2026 Semantic Feature Purification for Adversarially-Aware RGB-T Tracking AAAI 2026 Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models AAAI 2026 Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability AAAI 2026 TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems ACL 2026 Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation CVPR 2026 The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models CVPR 2026 Tight Robustness Certification Through the Convex Hull of ℓ₀ Attacks AAAI 2026 TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability AAAI 2026 Token-Context Attention for NLI: An Alternative to Self-Attention AAAI 2026 Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks CVPR 2026 Towards Robust Human–AI Decision-Making via Learning-to-Defer AAAI 2026 Towards Robust Vision Transformers: Path Dependency Analysis and a Simple Two-Stage Adversarial Training CVPR 2026 Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach AAAI 2026 TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models CVPR 2026 Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning AAAI 2026 UniGame: Turning a Unified Multimodal Model Into Its Own Adversary CVPR 2026 Vulnerability-Aware Robust Multimodal Adversarial Training AAAI 2026 When CLIP Sees More, It Fights Back Harder: Multi-View Guided Adaptive Counterattacks for Test-Time Adversarial Robustness CVPR 2026 Your Classifier Can Do More: Towards Balancing the Gaps in Classification, Robustness, and Generation CVPR 2026