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Privacy

2794 directly classified papers

Papers per year

Papers

Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference IJCNLP 2019
Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy INTERSPEECH 2019
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy NIPS 2019
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models NAACL 2019
Sensitive-Sample Fingerprinting of Deep Neural Networks CVPR 2019
Privacy-Preserving Obfuscation of Critical Infrastructure Networks IJCAI 2019
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? INTERSPEECH 2019
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP EMNLP 2019
The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps Towards a Common Understanding INTERSPEECH 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019
Differentially Private Online Submodular Minimization AISTATS 2019
Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data IJCAI 2019
Subsampled Renyi Differential Privacy and Analytical Moments Accountant AISTATS 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NIPS 2019
Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text EMNLP 2019
Linear Queries Estimation with Local Differential Privacy AISTATS 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
Differentially Private Fair Learning ICML 2019
Differentially Private Learning of Geometric Concepts ICML 2019