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Privacy

2,847 papers

Papers per year

18
172
532
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'25

Papers

Fast Distributed Submodular Cover: Public-Private Data Summarization NIPS 2016
Bootstrap Model Aggregation for Distributed Statistical Learning NIPS 2016
Privacy Odometers and Filters: Pay-as-you-Go Composition NIPS 2016
On Regularizing Rademacher Observation Losses NIPS 2016
Differential Privacy without Sensitivity NIPS 2016
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 2016
Private Causal Inference AISTATS 2016
Adaptive Learning with Robust Generalization Guarantees COLT 2016
Metadata-conscious anonymous messaging ICML 2016
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy ICML 2016
Efficient Private Empirical Risk Minimization for High-dimensional Learning ICML 2016
Learning privately from multiparty data ICML 2016
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing ICML 2016
Differentially Private Policy Evaluation ICML 2016
Discrete Distribution Estimation under Local Privacy ICML 2016
Privacy-Preserving Speech Analytics for Automatic Assessment of Student Collaboration INTERSPEECH 2016
Extremal Mechanisms for Local Differential Privacy JMLR 2016
Differentially Private Data Releasing for Smooth Queries JMLR 2016
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle JMLR 2016
Shuffler: Fast and Deployable Continuous Code Re-Randomization OSDI 2016
Unobservable Communication over Fully Untrusted Infrastructure OSDI 2016
Alpenhorn: Bootstrapping Secure Communication without Leaking Metadata OSDI 2016
Big Data Analytics over Encrypted Datasets with Seabed OSDI 2016
Differentially private subspace clustering NIPS 2015
Differentially Private Learning of Structured Discrete Distributions NIPS 2015