adversarial patch

CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage AAAI 2026 Diff-NAT: Better Naturalistic and Aggressive Adversarial Attacks via Class-Optimized Diffusion for Object Detection AAAI 2026 False Positives Matter: Multidimensional Localization Evaluation and Training-Free Explainable Adversarial Patch Defense AAAI 2026 Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting CVPR 2026 MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026 Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models AAAI 2026 Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems CVPR 2026 When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models CVPR 2026 ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling CVPR 2025 Adversarial Attention Deficit: Fooling Deformable Vision Transformers with Collaborative Adversarial Patches WACV 2025 A Unified, Resilient, and Explainable Adversarial Patch Detector CVPR 2025 Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker AAAI 2025 DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination WACV 2025 Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics ICCV 2025 IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization ICCV 2025 KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models AAAI 2025 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025 PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches CVPR 2025 PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection ICCV 2025 Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNs CVPR 2025 Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction WACV 2024 Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) AAAI 2024 Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation NeurIPS 2024 DAP: A Dynamic Adversarial Patch for Evading Person Detectors CVPR 2024 Detection Defenses: An Empty Promise Against Adversarial Patch Attacks on Optical Flow WACV 2024