Application Areas

Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022 Private Convex Optimization via Exponential Mechanism COLT 2022 Private Estimation with Public Data NeurIPS 2022 Private frequency estimation via projective geometry ICML 2022 Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate NeurIPS 2022 Private High-Dimensional Hypothesis Testing COLT 2022 Private Isotonic Regression NeurIPS 2022 PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval AAAI 2022 Private Matrix Approximation and Geometry of Unitary Orbits COLT 2022 Private Multiparty Perception for Navigation NeurIPS 2022 Private optimization in the interpolation regime: faster rates and hardness results ICML 2022 Private Rank Aggregation in Central and Local Models AAAI 2022 Private Robust Estimation by Stabilizing Convex Relaxations COLT 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022 Private Set Generation with Discriminative Information NeurIPS 2022 PrivateSNN: Privacy-Preserving Spiking Neural Networks AAAI 2022 Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited IJCAI 2022 Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making ICML 2022 Private Synthetic Data for Multitask Learning and Marginal Queries NeurIPS 2022 Privid: Practical, Privacy-Preserving Video Analytics Queries NSDI 2022 Proactive Image Manipulation Detection CVPR 2022 Probabilistic spatial transformer networks UAI 2022 Probable Domain Generalization via Quantile Risk Minimization NeurIPS 2022 Probing Classifiers are Unreliable for Concept Removal and Detection NeurIPS 2022