Adversarial Learning

Using Humor to Bypass Safety Guardrails in Large Language Models ACL 2025 Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness AAAI 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 Vocoder-Projected Feature Discriminator Interspeech 2025 Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models AAAI 2025 Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data CVPR 2025 What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs ACL 2025 When and Where do Data Poisons Attack Textual Inversion? ICCV 2025 When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need ICML 2025 When Visual State Space Model Meets Backdoor Attacks WACV 2025 Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors EMNLP 2025 Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models ACL 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NeurIPS 2024 Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024 Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks EMNLP 2024 A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives AAAI 2024 AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks NeurIPS 2024 Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation EMNLP 2024 Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024 Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving CVPR 2024