Privacy

Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation Interspeech 2021 Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels NAACL 2021 Private Adaptive Gradient Methods for Convex Optimization ICML 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021 Private and Non-private Uniformity Testing for Ranking Data NeurIPS 2021 Private Image Reconstruction from System Side Channels Using Generative Models ICLR 2021 Private learning implies quantum stability NeurIPS 2021 Privately Learning Mixtures of Axis-Aligned Gaussians NeurIPS 2021 Privately Learning Subspaces NeurIPS 2021 Privately Publishable Per-instance Privacy NeurIPS 2021 Private Non-smooth ERM and SCO in Subquadratic Steps NeurIPS 2021 Private optimization without constraint violations AISTATS 2021 Private Post-GAN Boosting ICLR 2021 Private Release of Text Embedding Vectors NAACL 2021 Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ICML 2021 Private Stochastic Non-convex Optimization with Improved Utility Rates IJCAI 2021 Private Text Classification with Convolutional Neural Networks NAACL 2021 Proactive Privacy-preserving Learning for Retrieval AAAI 2021 Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services CVPR 2021 Projection-Free Bandit Optimization with Privacy Guarantees AAAI 2021 Protecting DNNs from Theft using an Ensemble of Diverse Models ICLR 2021 Protecting Gender and Identity with Disentangled Speech Representations Interspeech 2021 Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks CVPR 2021 Provably Secure Federated Learning against Malicious Clients AAAI 2021 Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models AISTATS 2021