adversarial example

Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks AAAI 2026 Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI) AAAI 2026 Certified but Fooled! Breaking Certified Defenses with Ghost Certificates AAAI 2026 DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples CVPR 2026 HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors AAAI 2026 Improving Adversarial Transferability with Local Perturbation Augmentation CVPR 2026 Improving Sustainability of Adversarial Examples in Class-Incremental Learning AAAI 2026 Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving AAAI 2026 IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection AAAI 2026 IrisFP: Adversarial-Example-based Model Fingerprinting with Enhanced Uniqueness and Robustness CVPR 2026 Jailbreaking Vision-Language Models via Dissonance-Guided Suffix Optimization and Image-Phrase Injection CVPR 2026 Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks AAAI 2026 Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models CVPR 2026 On the Feasibility of Fréchet Radiomic Distance–Constrained Adversarial Examples in Medical Imaging: Methods and Trade-offs MIDL 2026 Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack AAAI 2026 Prompting Adversarial Transferability via Path Flatness Attack AAAI 2026 RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning CVPR 2026 Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation CVPR 2026 TAPO: Dynamic Teacher and Perturbed Answer Injection for Policy Optimization AAAI 2026 The Power of Decaying Steps: Enhancing Attack Stability and Transferability for Sign-based Optimizers CVPR 2026 Transform to Transfer: Boosting Adversarial Attack Transferability on Vision-Language Pre-training Models CVPR 2026 TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning AAAI 2026 Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception AAAI 2026 Verifying Neural Network Robustness with Dual Perturbations CVPR 2026 Accelerating Adversarial Training on Under-Utilized GPU IJCAI 2025