Privacy

On Leakage of Code Generation Evaluation Datasets EMNLP 2024 Online Distribution Learning with Local Privacy Constraints AISTATS 2024 Online Sensitivity Optimization in Differentially Private Learning AAAI 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On provable privacy vulnerabilities of graph representations NeurIPS 2024 On the Ability of Developers' Training Data Preservation of Learnware NeurIPS 2024 On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NeurIPS 2024 On the Computational Complexity of Private High-dimensional Model Selection NeurIPS 2024 On the Privacy of Selection Mechanisms with Gaussian Noise AISTATS 2024 On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks AAAI 2024 Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NeurIPS 2024 Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy COLT 2024 Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024 Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024 Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance JMLR 2024 Oracle-Efficient Differentially Private Learning with Public Data NeurIPS 2024 Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024 OSLO: One-Shot Label-Only Membership Inference Attacks NeurIPS 2024 PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining NeurIPS 2024 Parameter-Efficient Detoxification with Contrastive Decoding ACL 2024 PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks WACV 2024 Personality-memory Gated Adaptation: An Efficient Speaker Adaptation for Personalized End-to-end Automatic Speech Recognition Interspeech 2024 Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts EMNLP 2024