adversarial learning

On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024 Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization ACL 2024 Optical Flow Domain Adaptation via Target Style Transfer WACV 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization JMLR 2024 Optimistic Verifiable Training by Controlling Hardware Nondeterminism NeurIPS 2024 OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples AAAI 2024 Painterly Image Harmonization via Adversarial Residual Learning WACV 2024 Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World CVPR 2024 Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NeurIPS 2024 Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data CVPR 2024 Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach WACV 2024 Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications EMNLP 2024 Prompt Optimization via Adversarial In-Context Learning ACL 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NeurIPS 2024 Rapid Plug-in Defenders NeurIPS 2024 RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models EMNLP 2024 Realistic Evaluation of Toxicity in Large Language Models ACL 2024 Releasing the Capacity of GANs in Non-Autoregressive Image Captioning COLING 2024 Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing EMNLP 2024 Representation Noising: A Defence Mechanism Against Harmful Finetuning NeurIPS 2024 Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024 Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024 Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective ICLR 2024