Privacy

SHORTSTACK: Distributed, Fault-tolerant, Oblivious Data Access OSDI 2022 Should I disclose my dataset? Caveats between reproducibility and individual data rights EMNLP 2022 Shuffle Private Linear Contextual Bandits ICML 2022 SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression NeurIPS 2022 SPAct: Self-Supervised Privacy Preservation for Action Recognition CVPR 2022 SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification AISTATS 2022 Speaker Anonymization with Phonetic Intermediate Representations Interspeech 2022 Spectrum: High-bandwidth Anonymous Broadcast NSDI 2022 Subspace Differential Privacy AAAI 2022 Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data AISTATS 2022 Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans IJCAI 2022 Task-aware Privacy Preservation for Multi-dimensional Data ICML 2022 Task-level Differentially Private Meta Learning NeurIPS 2022 TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022 The Cycle of Trust and Responsibility in Outsourced AI NAACL 2022 The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning ICML 2022 The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2022 The Limits of Word Level Differential Privacy NAACL 2022 The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation ICML 2022 The Privacy Onion Effect: Memorization is Relative NeurIPS 2022 THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ACL 2022 Tight and Robust Private Mean Estimation with Few Users ICML 2022 To Trust or Not To Trust Prediction Scores for Membership Inference Attacks IJCAI 2022 Toward Privacy-preserving Text Embedding Similarity with Homomorphic Encryption EMNLP 2022 Towards Data-Free Model Stealing in a Hard Label Setting CVPR 2022