Privacy

Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021 Refocusing on Relevance: Personalization in NLG EMNLP 2021 Relaxed Marginal Consistency for Differentially Private Query Answering NeurIPS 2021 Remember What You Want to Forget: Algorithms for Machine Unlearning NeurIPS 2021 Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder Interspeech 2021 Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NeurIPS 2021 Revealing and Protecting Labels in Distributed Training NeurIPS 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning JMLR 2021 R-GAP: Recursive Gradient Attack on Privacy ICLR 2021 Risk score learning for COVID-19 contact tracing apps MLHC 2021 Robust and differentially private mean estimation NeurIPS 2021 Robust and Private Learning of Halfspaces AISTATS 2021 SAFENet: A Secure, Accurate and Fast Neural Network Inference ICLR 2021 Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021 Sample Selection for Fair and Robust Training NeurIPS 2021 Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021 SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021 Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021 Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning NeurIPS 2021 Single and Multiple Change-Point Detection with Differential Privacy JMLR 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021 Speaker Anonymisation Using the McAdams Coefficient Interspeech 2021 SPECTRE: defending against backdoor attacks using robust statistics ICML 2021