Adversarial Learning

OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples AAAI 2024 Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation AAAI 2024 PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity COLING 2024 PAD: Patch-Agnostic Defense against Adversarial Patch Attacks CVPR 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 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving CVPR 2024 Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024 PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks EMNLP 2024 Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials COLING 2024 PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024 Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms ICML 2024 Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness CVPR 2024 Prior Knowledge-Guided Adversarial Training ACL 2024 Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NeurIPS 2024 Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024 Promoting Counterfactual Robustness through Diversity AAAI 2024 Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models NeurIPS 2024 PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning NAACL 2024 Prompt Optimization via Adversarial In-Context Learning ACL 2024 Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024