adversarial learning

Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NeurIPS 2024 ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024 Adversarial Contextual Bandits Go Kernelized ALT 2024 Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 Adversarial Fairness Network AAAI 2024 Adversarial Learning for Multi-Lingual Entity Linking ACL 2024 Adversarially Robust Decision Transformer NeurIPS 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 Adversarial Online Learning with Temporal Feedback Graphs COLT 2024 Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024 Adversarial Score Distillation: When score distillation meets GAN CVPR 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024 AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NeurIPS 2024 Agnostic Multi-Robust Learning using ERM AISTATS 2024 Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions EMNLP 2024 Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics IJCAI 2024 Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NeurIPS 2024 ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024 A Survey on Natural Language Counterfactual Generation EMNLP 2024 AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024 Automated Adversarial Discovery for Safety Classifiers NAACL 2024 Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024 Backdoor NLP Models via AI-Generated Text COLING 2024 Backward Responsibility in Transition Systems Using General Power Indices AAAI 2024