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Privacy

2,847 papers

Papers per year

18
172
532
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Papers

Privately Learning High-Dimensional Distributions COLT 2019
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019
Revealing Scenes by Inverting Structure From Motion Reconstructions CVPR 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People CVPR 2019
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019
Sensitive-Sample Fingerprinting of Deep Neural Networks CVPR 2019
Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019
Privacy Preserving Image-Based Localization CVPR 2019
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels CVPR 2019
How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP EMNLP 2019
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference EMNLP 2019
Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019
Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text EMNLP 2019
Privacy Preserving Image Queries for Camera Localization ICCV 2019
Live Face De-Identification in Video ICCV 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ICML 2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA ICML 2019
Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019
Low Latency Privacy Preserving Inference ICML 2019
Differentially Private Fair Learning ICML 2019
Differentially Private Learning of Geometric Concepts ICML 2019
Robust Learning from Untrusted Sources ICML 2019