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Privacy

2794 directly classified papers

Papers per year

Papers

A Cloaking Mechanism to Mitigate Market Manipulation IJCAI 2018
Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems AISTATS 2018
Local Differential Privacy for Evolving Data NIPS 2018
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NIPS 2018
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images CVPR 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data NIPS 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NIPS 2018
The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018
Obladi: Oblivious Serializable Transactions in the Cloud OSDI 2018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service ICML 2018
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints ICML 2018
Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018
Differentially Private Change-Point Detection NIPS 2018
Differentially Private Robust Low-Rank Approximation NIPS 2018
Bounded-Loss Private Prediction Markets NIPS 2018
De-identifying Free Text of Japanese Dummy Electronic Health Records EMNLP 2018
Differential Privacy for Growing Databases NIPS 2018
Privacy-preserving Neural Representations of Text EMNLP 2018
The Price of Privacy for Low-rank Factorization NIPS 2018
Towards Robust and Privacy-preserving Text Representations ACL 2018
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
Personalized and Private Peer-to-Peer Machine Learning AISTATS 2018
Model-Agnostic Private Learning NIPS 2018
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018