Privacy

IronMask: Modular Architecture for Protecting Deep Face Template CVPR 2021 Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods NeurIPS 2021 Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks ICML 2021 Label Inference Attacks from Log-loss Scores ICML 2021 Label-Only Membership Inference Attacks ICML 2021 Large Scale Private Learning via Low-rank Reparametrization ICML 2021 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021 Learner-Private Convex Optimization ICML 2021 Learning and Evaluating a Differentially Private Pre-trained Language Model EMNLP 2021 Learning and Evaluating a Differentially Private Pre-trained Language Model NAACL 2021 Learning from History for Byzantine Robust Optimization ICML 2021 Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data ACL 2021 Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021 Learning Privacy-Preserving Optics for Human Pose Estimation ICCV 2021 Learning Student Networks in the Wild CVPR 2021 Learning with Selective Forgetting IJCAI 2021 Learning with User-Level Privacy NeurIPS 2021 Leveraging Public Data for Practical Private Query Release ICML 2021 Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NeurIPS 2021 Littlestone Classes are Privately Online Learnable NeurIPS 2021 Local Differential Privacy for Bayesian Optimization AAAI 2021 Local Differential Privacy for Regret Minimization in Reinforcement Learning NeurIPS 2021 Locally differentially private estimation of functionals of discrete distributions NeurIPS 2021 Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Locally Private k-Means Clustering JMLR 2021