black-box attack

AD2: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems WACV 2026 Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation AAAI 2026 Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models ACL 2026 Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models CVPR 2026 CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems ACL 2026 CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training ACL 2026 Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026 FeatureFool: Zero-Query Fooling of Video Models via Feature Map CVPR 2026 Fractal Camouflage: A Bio-Inspired Approach for Multi-Scale Adversarial Attacks in the Infrared Domain CVPR 2026 Hidden Dangers of Compositional Generation: Diagnosing Semantic Safety Failures in Text-to-Image Models CVPR 2026 HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors AAAI 2026 LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models AAAI 2026 Manipulating the Mind’s Eye: A-SAGE, the Attention-Based Attack on ViT Explainability AAAI 2026 Models as Lego Builders: Assembling Malice from Benign Blocks via Semantic Blueprints CVPR 2026 Omni-Attack: Adversarial Attacks on Open-Ended VQA in Black-Box Multimodal LLMs CVPR 2026 Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack AAAI 2026 Prompting Adversarial Transferability via Path Flatness Attack AAAI 2026 PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and VLM-Guided Optimization CVPR 2026 PureProof: Diffusion-Resistant Black-box Targeted Attack on Large Vision-Language Models CVPR 2026 RemedyGS: Defend 3D Gaussian Splatting Against Computation Cost Attacks CVPR 2026 Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization ACL 2026 SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning CVPR 2026 Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation EACL 2026 Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach AAAI 2026 Transform to Transfer: Boosting Adversarial Attack Transferability on Vision-Language Pre-training Models CVPR 2026