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Privacy

2794 directly classified papers

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Papers

Graphical-model based estimation and inference for differential privacy ICML 2019
Formal Privacy for Functional Data with Gaussian Perturbations ICML 2019
Sublinear Space Private Algorithms Under the Sliding Window Model ICML 2019
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions ICML 2019
On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019
Revealing Scenes by Inverting Structure From Motion Reconstructions CVPR 2019
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate NIPS 2019
Facility Location Problem in Differential Privacy Model Revisited NIPS 2019
Differentially Private Distributed Data Summarization under Covariate Shift NIPS 2019
Extracting Mel-Frequency and Bark-Frequency Cepstral Coefficients from Encrypted Signals INTERSPEECH 2019
Simultaneous Private Learning of Multiple Concepts JMLR 2019
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference EMNLP 2019
Private Stochastic Convex Optimization with Optimal Rates NIPS 2019
Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019
Differentially Private Markov Chain Monte Carlo NIPS 2019
Capacity Bounded Differential Privacy NIPS 2019
Robust Learning from Untrusted Sources ICML 2019
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019
Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018
GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning IJCAI 2018
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018
Calibrating Noise to Variance in Adaptive Data Analysis COLT 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes ICML 2018
VoiceGuard: Secure and Private Speech Processing INTERSPEECH 2018
Differentially Private Contextual Linear Bandits NIPS 2018