Differential Privacy

A Unified Characterization of Private Learnability via Graph Theory COLT 2024 Banded Square Root Matrix Factorization for Differentially Private Model Training NeurIPS 2024 Certified private data release for sparse Lipschitz functions AISTATS 2024 Characterizing Stereotypical Bias from Privacy-preserving Pre-Training ACL 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Confidential-DPproof: Confidential Proof of Differentially Private Training ICLR 2024 Continual Counting with Gradual Privacy Expiration NeurIPS 2024 Credit Attribution and Stable Compression NeurIPS 2024 Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Differentially Private No-regret Exploration in Adversarial Markov Decision Processes UAI 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Differentially Private Reinforcement Learning with Self-Play NeurIPS 2024 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Differentially Private Set Representations NeurIPS 2024 Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach ICLR 2024 Differentially Private Synthetic Data via Foundation Model APIs 1: Images ICLR 2024 Differentially Private Video Activity Recognition WACV 2024 Differential Privacy in Scalable General Kernel Learning via K-means Nystr\"om Random Features NeurIPS 2024 DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NeurIPS 2024 DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024 Efficiently Computing Similarities to Private Datasets ICLR 2024 Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains EMNLP 2024 Fairness and Privacy Guarantees in Federated Contextual Bandits ACML 2024