Differential Privacy

Privacy-Preserving Models for Legal Natural Language Processing EMNLP 2022 Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption NAACL 2022 Private Adaptive Optimization with Side information ICML 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022 Private High-Dimensional Hypothesis Testing COLT 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 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 Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making ICML 2022 Provably Confidential Language Modelling NAACL 2022 Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion NeurIPS 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NeurIPS 2022 Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy NeurIPS 2022 Selective Differential Privacy for Language Modeling NAACL 2022 Sentence-level Privacy for Document Embeddings ACL 2022 Shape And Structure Preserving Differential Privacy NeurIPS 2022 Shuffle Private Stochastic Convex Optimization ICLR 2022 SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression NeurIPS 2022 Subspace Differential Privacy AAAI 2022 Task-level Differentially Private Meta Learning NeurIPS 2022 Tight and Robust Private Mean Estimation with Few Users ICML 2022