Differential Privacy

Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021 FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021 Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021 Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021 Instance-optimal Mean Estimation Under Differential Privacy NeurIPS 2021 Label-Only Membership Inference Attacks ICML 2021 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021 Learning and Evaluating a Differentially Private Pre-trained Language Model EMNLP 2021 Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021 Leveraging Public Data for Practical Private Query Release ICML 2021 Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Lossless Compression of Efficient Private Local Randomizers ICML 2021 Machine Unlearning via Algorithmic Stability COLT 2021 Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021 Multiclass versus Binary Differentially Private PAC Learning NeurIPS 2021 Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021 Oneshot Differentially Private Top-k Selection ICML 2021 PAPRIKA: Private Online False Discovery Rate Control ICML 2021 PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification Interspeech 2021 Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021 Privately Publishable Per-instance Privacy NeurIPS 2021 Private Release of Text Embedding Vectors NAACL 2021 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021