Adversarial Learning

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats NeurIPS 2024 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NeurIPS 2024 HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation NeurIPS 2024 Hard-Label Based Small Query Black-Box Adversarial Attack WACV 2024 Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds CVPR 2024 Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning ICLR 2024 Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection ACL 2024 High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 High-probability complexity bounds for stochastic non-convex minimax optimization NeurIPS 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing CVPR 2024 Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction EMNLP 2024 Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack COLING 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation EMNLP 2024 Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control IJCAI 2024 Improved Generation of Adversarial Examples Against Safety-aligned LLMs NeurIPS 2024 Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024 Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset NAACL 2024 Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design EMNLP 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024 Improving Dialog Safety using Socially Aware Contrastive Learning EACL 2024 Improving Fairness in Deepfake Detection WACV 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024