Privacy

Dataset Inference: Ownership Resolution in Machine Learning ICLR 2021 Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification AAAI 2021 Decision Making with Differential Privacy under a Fairness Lens IJCAI 2021 Deep Learning with Label Differential Privacy NeurIPS 2021 Deep Poisoning: Towards Robust Image Data Sharing Against Visual Disclosure WACV 2021 DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021 Defending against Backdoors in Federated Learning with Robust Learning Rate AAAI 2021 Descent-to-Delete: Gradient-Based Methods for Machine Unlearning ALT 2021 Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message ICML 2021 Differentially Private Analysis on Graph Streams AISTATS 2021 Differentially Private and Communication Efficient Collaborative Learning AAAI 2021 Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021 Differentially Private Assouad, Fano, and Le Cam ALT 2021 Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021 Differentially-Private Clustering of Easy Instances ICML 2021 Differentially Private Clustering via Maximum Coverage AAAI 2021 Differentially Private Correlation Alignment for Domain Adaptation IJCAI 2021 Differentially Private Correlation Clustering ICML 2021 Differentially Private Decomposable Submodular Maximization AAAI 2021 Differentially Private Densest Subgraph Detection ICML 2021 Differentially Private Empirical Risk Minimization under the Fairness Lens NeurIPS 2021 Differentially Private Federated Bayesian Optimization with Distributed Exploration NeurIPS 2021 Differentially Private k-Means via Exponential Mechanism and Max Cover AAAI 2021 Differentially Private Learning Needs Better Features (or Much More Data) ICLR 2021 Differentially Private Learning with Adaptive Clipping NeurIPS 2021