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Adversarial Learning

4854 directly classified papers

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Papers

TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models AAAI 2026
Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience AAAI 2026
Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks AAAI 2026
Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models AAAI 2026
Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks AAAI 2026
Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion ICCV 2025
BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation ICCV 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models ICCV 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025
PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection ICCV 2025
StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions ICCV 2025
DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination WACV 2025
ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense EMNLP 2025
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging CVPR 2025
Science-T2I: Addressing Scientific Illusions in Image Synthesis CVPR 2025
Seal Your Backdoor with Variational Defense ICCV 2025
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models CVPR 2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations CVPR 2025
Identifying and Mitigating Spurious Correlation in Multi-Task Learning CVPR 2025
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis CVPR 2025
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment CVPR 2025
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models CVPR 2025
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies CVPR 2025
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning CVPR 2025