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Privacy

2794 directly classified papers

Papers per year

Papers

Privately Learning Markov Random Fields ICML 2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric EMNLP 2020
Camera Trace Erasing CVPR 2020
New Oracle-Efficient Algorithms for Private Synthetic Data Release ICML 2020
Robust Encodings: A Framework for Combating Adversarial Typos ACL 2020
Federated Patient Hashing AAAI 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference NIPS 2020
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NIPS 2020
Towards Better Generalization of Adaptive Gradient Methods NIPS 2020
Differentially Private Survival Function Estimation MLHC 2020
Controlled Query Evaluation in Description Logics Through Instance Indistinguishability IJCAI 2020
Bayesian Differential Privacy for Machine Learning ICML 2020
Private Outsourced Bayesian Optimization ICML 2020
Permute-and-Flip: A new mechanism for differentially private selection NIPS 2020
De-Anonymizing Text by Fingerprinting Language Generation NIPS 2020
Passport-aware Normalization for Deep Model Protection NIPS 2020
Inverting Gradients - How easy is it to break privacy in federated learning? NIPS 2020
Variational Bayesian Unlearning NIPS 2020
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging NIPS 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NIPS 2020
Falcon: Fast Spectral Inference on Encrypted Data NIPS 2020
Surfacing Privacy Settings Using Semantic Matching EMNLP 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning INTERSPEECH 2020
TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control NSDI 2020