Adversarial Learning

DAFA: Distance-Aware Fair Adversarial Training ICLR 2024 DAG-Based Column Generation for Adversarial Team Games ICML 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 DAP: A Dynamic Adversarial Patch for Evading Person Detectors CVPR 2024 DarkFed: A Data-Free Backdoor Attack in Federated Learning IJCAI 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing NeurIPS 2024 Data Free Backdoor Attacks NeurIPS 2024 Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 Data Poisoning based Backdoor Attacks to Contrastive Learning CVPR 2024 De-biased Attention Supervision for Text Classification with Causality AAAI 2024 Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble EMNLP 2024 Deceptive Fairness Attacks on Graphs via Meta Learning ICLR 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NeurIPS 2024 Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack CVPR 2024 Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract) IJCAI 2024 Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning NAACL 2024 Defending Jailbreak Prompts via In-Context Adversarial Game EMNLP 2024 Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization CVPR 2024 Defense Against Adversarial Cloud Attack on Remote Sensing Salient Object Detection WACV 2024 Defense against Model Extraction Attack by Bayesian Active Watermarking ICML 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NeurIPS 2024 DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms NeurIPS 2024 Detection and Defense of Unlearnable Examples AAAI 2024