Adversarial Learning

Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024 Adversarial Imitation Learning via Boosting ICLR 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 Adversarial Learning for Multi-Lingual Entity Linking ACL 2024 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 Adversarial Math Word Problem Generation EMNLP 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NeurIPS 2024 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification Interspeech 2024 Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NeurIPS 2024 Analyzing and Improving Optimal-Transport-based Adversarial Networks ICLR 2024 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024 Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation EMNLP 2024 Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL 2024 Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NeurIPS 2024 A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024 ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users NeurIPS 2024 ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs ACL 2024 ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024 A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024 A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NeurIPS 2024 Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024