adversarial attack

SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks AAAI 2026 Seeing No Evil: Blinding Large Vision-Language Models to Safety Instructions via Adversarial Attention Hijacking ACL 2026 Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models AAAI 2026 Shedding Light on VLN Robustness: A Black-box Framework for Indoor Lighting-based Adversarial Attack CVPR 2026 SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning EACL 2026 SoundBreak: A Systematic Study of Audio-Only Adversarial Attacks on Trimodal Models ACL 2026 Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models AAAI 2026 STACK: Adversarial Attacks on LLM Safeguard Pipelines AAAI 2026 StyleBreak: Revealing Alignment Vulnerabilities in Large Audio-Language Models via Style-Aware Audio Jailbreak AAAI 2026 Surrogate as Teacher: Distillation-Guided Graph Poisoning Attack AAAI 2026 TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems ACL 2026 TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models CVPR 2026 Text-Guided Gradient Refinement: Resolving Multimodal Gradient Conflicts to Boost Adversarial Attacks on Vision-Language Models AAAI 2026 Time Shuffle: A Transferability-Booster for Multiple Audio Adversarial Tasks AAAI 2026 Timestep-Compressed Attack on Spiking Neural Networks Through Timestep-Level Backpropagation AAAI 2026 TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models CVPR 2026 Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026 Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks CVPR 2026 Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach AAAI 2026 Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges AAAI 2026 Transform to Transfer: Boosting Adversarial Attack Transferability on Vision-Language Pre-training Models CVPR 2026 Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion AAAI 2026 Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models EACL 2026 Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception AAAI 2026 Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization AAAI 2026