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Privacy

2794 directly classified papers

Papers per year

Papers

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
Defending Neural Backdoors via Generative Distribution Modeling NIPS 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019
An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models INTERSPEECH 2019
Locally Private Gaussian Estimation NIPS 2019
Partially Encrypted Deep Learning using Functional Encryption NIPS 2019
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NIPS 2019
A System for Real-Time Privacy Preserving Data Collection for Ambient Assisted Living INTERSPEECH 2019
On Fair Cost Sharing Games in Machine Learning AAAI 2019
Differential Privacy Has Disparate Impact on Model Accuracy NIPS 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NIPS 2019
Quality Control Attack Schemes in Crowdsourcing IJCAI 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation NIPS 2019
Differentially Private Covariance Estimation NIPS 2019
How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019
Reasoning about Disclosure in Data Integration in the Presence of Source Constraints IJCAI 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019
Making AI Forget You: Data Deletion in Machine Learning NIPS 2019
Privacy Amplification by Mixing and Diffusion Mechanisms NIPS 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference IJCAI 2019
Poission Subsampled Rényi Differential Privacy ICML 2019
Live Face De-Identification in Video ICCV 2019
On Differentially Private Graph Sparsification and Applications NIPS 2019
An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule ICML 2019
Private Model Compression via Knowledge Distillation AAAI 2019