Privacy

Fooling Vision and Language Models Despite Localization and Attention Mechanism CVPR 2018 GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning IJCAI 2018 Graviton: Trusted Execution Environments on GPUs OSDI 2018 Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018 Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms ICML 2018 INSPECTRE: Privately Estimating the Unseen ICML 2018 Karaoke: Distributed Private Messaging Immune to Passive Traffic Analysis OSDI 2018 Learning Differentially Private Recurrent Language Models ICLR 2018 Local Differential Privacy for Evolving Data NeurIPS 2018 Locally Private Hypothesis Testing ICML 2018 Local Private Hypothesis Testing: Chi-Square Tests ICML 2018 Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems AISTATS 2018 Model-Agnostic Private Learning NeurIPS 2018 Natural and Effective Obfuscation by Head Inpainting CVPR 2018 Obladi: Oblivious Serializable Transactions in the Cloud OSDI 2018 Patient Privacy in Paralinguistic Tasks Interspeech 2018 Personalized and Private Peer-to-Peer Machine Learning AISTATS 2018 Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NeurIPS 2018 Privacy-preserving Neural Representations of Text EMNLP 2018 Privacy-preserving Prediction COLT 2018 Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018 Private Sequential Learning COLT 2018 Query Complexity of Bayesian Private Learning NeurIPS 2018 SafeBricks: Shielding Network Functions in the Cloud NSDI 2018 Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints ICML 2018