Adversarial Learning

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 On the Convergence of an Adaptive Momentum Method for Adversarial Attacks AAAI 2024 On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024 On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods AAAI 2024 On the Robustness of Large Multimodal Models Against Image Adversarial Attacks CVPR 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024 Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024 P2D: Plug and Play Discriminator for Accelerating GAN Frameworks WACV 2024 PAD: Patch-Agnostic Defense against Adversarial Patch Attacks CVPR 2024 Painterly Image Harmonization via Adversarial Residual Learning WACV 2024 Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NeurIPS 2024 PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR 2024 Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models AAAI 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024 Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024 Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World CVPR 2024 PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks EMNLP 2024 Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues ACL 2024 Prior Knowledge-Guided Adversarial Training ACL 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 Protecting Your LLMs with Information Bottleneck NeurIPS 2024 Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024 RAFT: Realistic Attacks to Fool Text Detectors EMNLP 2024 RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness NeurIPS 2024 Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024