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Privacy

2794 directly classified papers

Papers per year

Papers

Private Center Points and Learning of Halfspaces COLT 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction AAAI 2019
Distributed Collaborative Feature Selection Based on Intermediate Representation IJCAI 2019
Privacy-aware Synthesizing for Crowdsourced Data IJCAI 2019
Deanonymizing Social Networks Using Structural Information IJCAI 2019
On Privacy Protection of Latent Dirichlet Allocation Model Training IJCAI 2019
KNG: The K-Norm Gradient Mechanism NIPS 2019
Differentially Private Bayesian Linear Regression NIPS 2019
Differentially Private Anonymized Histograms NIPS 2019
Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification INTERSPEECH 2019
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NIPS 2019
Locally Private Learning without Interaction Requires Separation NIPS 2019
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination AAAI 2019
Differentially Private Community Detection in Attributed Social Networks ACML 2019
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition NIPS 2019
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019
Privacy Preserving Image-Based Localization CVPR 2019
APRP: An Anonymous Propagation Method in Bitcoin Network AAAI 2019
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation INTERSPEECH 2019
Private Hypothesis Selection NIPS 2019
Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019
Private Testing of Distributions via Sample Permutations NIPS 2019