Privacy

Post-processing of Differentially Private Data: A Fairness Perspective IJCAI 2022 Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios ICLR 2022 PRECODE - A Generic Model Extension To Prevent Deep Gradient Leakage WACV 2022 Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022 Preventing sensitive-word recognition using self-supervised learning to preserve user-privacy for automatic speech recognition Interspeech 2022 Privacy Amplification by Decentralization AISTATS 2022 Privacy Amplification by Subsampling in Time Domain AISTATS 2022 Privacy Amplification via Shuffling for Linear Contextual Bandits ALT 2022 Privacy-aware compression for federated data analysis UAI 2022 Privacy for Free: How does Dataset Condensation Help Privacy? ICML 2022 Privacy Implications of Shuffling ICLR 2022 Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NeurIPS 2022 Privacy Leakage in Text Classification A Data Extraction Approach NAACL 2022 Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss NeurIPS 2022 Privacy Pitfalls of Online Service Terms and Conditions: a Hybrid Approach for Classification and Summarization EMNLP 2022 Privacy-Preserving Face Recognition in the Frequency Domain AAAI 2022 Privacy-Preserving Models for Legal Natural Language Processing EMNLP 2022 Private Adaptive Optimization with Side information ICML 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022 Private Convex Optimization via Exponential Mechanism COLT 2022 Private Estimation with Public Data NeurIPS 2022 Private frequency estimation via projective geometry ICML 2022 Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate NeurIPS 2022 Private High-Dimensional Hypothesis Testing COLT 2022