Privacy

FedInverse: Evaluating Privacy Leakage in Federated Learning ICLR 2024 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning ACML 2024 FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity ICLR 2024 Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models NeurIPS 2024 Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation EMNLP 2024 Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NeurIPS 2024 Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024 GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory EMNLP 2024 GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024 Granular Privacy Control for Geolocation with Vision Language Models EMNLP 2024 GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick ACL 2024 HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection NeurIPS 2024 Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques ACL 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract) AAAI 2024 Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024 Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024 Invisible Image Watermarks Are Provably Removable Using Generative AI NeurIPS 2024 I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024 Is It Safe to Tell Your Story? Towards Achieving Privacy for Sensitive Narratives EMNLP 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 Learnable Privacy Neurons Localization in Language Models ACL 2024 Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024 LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models EMNLP 2024