differential privacy

How unfair is private learning? UAI 2022 Hypothesis Testing for Differentially Private Linear Regression NeurIPS 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NeurIPS 2022 Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022 Improved Regret for Differentially Private Exploration in Linear MDP ICML 2022 Improved Utility Analysis of Private CountSketch NeurIPS 2022 Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters ICLR 2022 Incorporating Item Frequency for Differentially Private Set Union AAAI 2022 Increasing the Cost of Model Extraction with Calibrated Proof of Work ICLR 2022 In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning NeurIPS 2022 Infinitely Divisible Noise in the Low Privacy Regime ALT 2022 Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022 Label differential privacy via clustering AISTATS 2022 Large Language Models Can Be Strong Differentially Private Learners ICLR 2022 Large-Scale Differentially Private BERT EMNLP 2022 Local Differential Privacy for Belief Functions AAAI 2022 Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error AAAI 2022 Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy NeurIPS 2022 Mean Estimation with User-level Privacy under Data Heterogeneity NeurIPS 2022 Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract) IJCAI 2022 Mitigating statistical bias within differentially private synthetic data UAI 2022 Mixed Differential Privacy in Computer Vision CVPR 2022 Momentum Aggregation for Private Non-convex ERM NeurIPS 2022 Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging NeurIPS 2022 (Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping COLT 2022