Privacy

Locally private online change point detection NeurIPS 2021 Location Trace Privacy Under Conditional Priors AISTATS 2021 Lossless Compression of Efficient Private Local Randomizers ICML 2021 LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition ICLR 2021 Machine Unlearning for Random Forests ICML 2021 Machine Unlearning via Algorithmic Stability COLT 2021 MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation OSDI 2021 Matrix Sketching for Secure Collaborative Machine Learning ICML 2021 MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation CVPR 2021 Measuring data leakage in machine-learning models with Fisher information UAI 2021 Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021 Membership Privacy for Machine Learning Models Through Knowledge Transfer AAAI 2021 Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021 Mixed-Privacy Forgetting in Deep Networks CVPR 2021 Model-Contrastive Federated Learning CVPR 2021 Modeling Deep Learning Based Privacy Attacks on Physical Mail AAAI 2021 MoM: Minutes of Meeting Bot Interspeech 2021 Multiclass versus Binary Differentially Private PAC Learning NeurIPS 2021 (Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021 Neural Tangent Generalization Attacks ICML 2021 Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021 No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021 Numerical Composition of Differential Privacy NeurIPS 2021 Oblique: Accelerating Page Loads Using Symbolic Execution NSDI 2021 On a Utilitarian Approach to Privacy Preserving Text Generation NAACL 2021