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Privacy

2794 directly classified papers

Papers per year

Papers

Local Private Hypothesis Testing: Chi-Square Tests ICML 2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms ICML 2018
Locally Private Hypothesis Testing ICML 2018
Differentially Private Database Release via Kernel Mean Embeddings ICML 2018
INSPECTRE: Privately Estimating the Unseen ICML 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018
Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams AISTATS 2018
Advances and Challenges in Privacy Preserving Planning IJCAI 2018
Graviton: Trusted Execution Environments on GPUs OSDI 2018
Differentially Private Regression with Gaussian Processes AISTATS 2018
Differentially Private Matrix Completion Revisited ICML 2018
Fooling Vision and Language Models Despite Localization and Attention Mechanism CVPR 2018
Contamination Attacks and Mitigation in Multi-Party Machine Learning NIPS 2018
SafeBricks: Shielding Network Functions in the Cloud NSDI 2018
Karaoke: Distributed Private Messaging Immune to Passive Traffic Analysis OSDI 2018
Certified Computation from Unreliable Datasets COLT 2018
Corrupt Bandits for Preserving Local Privacy ALT 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise NIPS 2018
Smooth Sensitivity Based Approach for Differentially Private PCA ALT 2018
Clustering Algorithms for the Centralized and Local Models ALT 2018
Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying EMNLP 2018
Private Sequential Learning COLT 2018
Privacy-preserving Prediction COLT 2018
Tamper-Proof Privacy Auditing for Artificial Intelligence Systems IJCAI 2018
Differentially Private k-Means with Constant Multiplicative Error NIPS 2018