differential privacy

Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NeurIPS 2024 PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024 Privacy Amplification for Matrix Mechanisms ICLR 2024 Privacy-Aware Randomized Quantization via Linear Programming UAI 2024 Privacy Backdoors: Stealing Data with Corrupted Pretrained Models ICML 2024 Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach WACV 2024 Privacy-Preserving In-Context Learning for Large Language Models ICLR 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation ICLR 2024 Privacy-Preserving Instructions for Aligning Large Language Models ICML 2024 Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training NeurIPS 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NeurIPS 2024 Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems ICML 2024 Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NeurIPS 2024 Private Geometric Median NeurIPS 2024 Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses ICML 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Private Learning with Public Features AISTATS 2024 Privately Aligning Language Models with Reinforcement Learning ICLR 2024 Privately Learning Smooth Distributions on the Hypercube by Projections ICML 2024 Private Online Learning via Lazy Algorithms NeurIPS 2024 Private PAC Learning May be Harder than Online Learning ALT 2024 Private prediction for large-scale synthetic text generation EMNLP 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024