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Privacy

490 directly classified papers

Papers per year

Papers

Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NIPS 2020
Bayesian Pseudocoresets NIPS 2020
Federated Principal Component Analysis NIPS 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition CVPR 2020
A Girl Has A Name: Detecting Authorship Obfuscation ACL 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020
Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020
Speech Pseudonymisation Assessment Using Voice Similarity Matrices INTERSPEECH 2020
REM: From Structural Entropy to Community Structure Deception NIPS 2019
Learning Auctions with Robust Incentive Guarantees NIPS 2019
Limits of Private Learning with Access to Public Data NIPS 2019
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery CVPR 2019
Privacy Preserving Image-Based Localization CVPR 2019
Online Learning via the Differential Privacy Lens NIPS 2019
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation NIPS 2019
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People CVPR 2019
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records ACL 2019
Towards Near-imperceptible Steganographic Text ACL 2019
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data NIPS 2019
Fast Algorithm for K-Truss Discovery on Public-Private Graphs IJCAI 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference ICML 2019
Formal Privacy for Functional Data with Gaussian Perturbations ICML 2019
Private Center Points and Learning of Halfspaces COLT 2019