adversarial attack

UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping ICLR 2025 Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization ICLR 2025 VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models EMNLP 2025 Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection EMNLP 2025 ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025 Watermark Smoothing Attacks against Language Models EMNLP 2025 Wayward Concepts In Multimodal Models ICLR 2025 Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models ACL 2025 Web Artifact Attacks Disrupt Vision Language Models ICCV 2025 WebInject: Prompt Injection Attack to Web Agents EMNLP 2025 What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks EMNLP 2025 What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs ACL 2025 What You Read Isn’t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection EMNLP 2025 When Allies Turn Foes: Exploring Group Characteristics of LLM-Based Multi-Agent Collaborative Systems Under Adversarial Attacks EMNLP 2025 Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks ICLR 2025 Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning ICML 2025 WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response NAACL 2025 Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025 ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models ICCV 2025 MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts ICML 2024 AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes IJCAI 2024 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling NeurIPS 2024 A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation EACL 2024 A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024