Privacy

Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024 Learnable Privacy Neurons Localization in Language Models ACL 2024 Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions ICLR 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024 Leave-one-out Distinguishability in Machine Learning ICLR 2024 Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds ICLR 2024 LLM Dataset Inference: Did you train on my dataset? NeurIPS 2024 Locally Differentially Private In-Context Learning COLING 2024 Locally Private and Robust Multi-Armed Bandits NeurIPS 2024 LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning CVPR 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Low Precision Local Training is Enough for Federated Learning NeurIPS 2024 LR-XFL: Logical Reasoning-Based Explainable Federated Learning AAAI 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Machine Unlearning of Pre-trained Large Language Models ACL 2024 Machine Unlearning via Null Space Calibration IJCAI 2024 MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024 MarkLLM: An Open-Source Toolkit for LLM Watermarking EMNLP 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 Measuring Dejavu Memorization Efficiently NeurIPS 2024 Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration NeurIPS 2024 Membership Inference Attacks against Large Vision-Language Models NeurIPS 2024 Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy NeurIPS 2024 Memorization in Self-Supervised Learning Improves Downstream Generalization ICLR 2024