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Privacy

363 directly classified papers

Papers per year

Papers

Generalized Linear Bandits with Local Differential Privacy NIPS 2021
Deep Learning with Label Differential Privacy NIPS 2021
Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021
Improving Fairness and Privacy in Selection Problems AAAI 2021
Addressing Class Imbalance in Federated Learning AAAI 2021
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services CVPR 2021
Label-Only Membership Inference Attacks ICML 2021
Differentially Private Quantiles ICML 2021
Oneshot Differentially Private Top-k Selection ICML 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data ACL 2021
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021
Differentially Private Clustering via Maximum Coverage AAAI 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021
Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021
Differentially Private Pairwise Learning Revisited IJCAI 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021
Differentially Private Empirical Risk Minimization under the Fairness Lens NIPS 2021
Measuring data leakage in machine-learning models with Fisher information UAI 2021
IronMask: Modular Architecture for Protecting Deep Face Template CVPR 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021