Application Areas

Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 Private k-Means Clustering with Stability Assumptions AISTATS 2020 Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020 Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity NeurIPS 2020 Privately Answering Classification Queries in the Agnostic PAC Model ALT 2020 Privately detecting changes in unknown distributions ICML 2020 Privately Learning Markov Random Fields ICML 2020 Privately Learning Thresholds: Closing the Exponential Gap COLT 2020 Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Private Outsourced Bayesian Optimization ICML 2020 Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020 Private Query Release Assisted by Public Data ICML 2020 Private Reinforcement Learning with PAC and Regret Guarantees ICML 2020 PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation EMNLP 2020 Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks ICLR 2020 Probabilistic Fair Clustering NeurIPS 2020 Probability Weighted Compact Feature for Domain Adaptive Retrieval CVPR 2020 Probably Approximately Correct Constrained Learning NeurIPS 2020 Progressive Adversarial Networks for Fine-Grained Domain Adaptation CVPR 2020 Progressive Boundary Refinement Network for Temporal Action Detection AAAI 2020 Progressive Domain Adaptation for Object Detection WACV 2020 Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2020 Progressive Graph Learning for Open-Set Domain Adaptation ICML 2020 Progressive Memory Banks for Incremental Domain Adaptation ICLR 2020 Protecting Geolocation Privacy of Photo Collections AAAI 2020