Yan Chen

According to our database, Yan Chen authored at least 9 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Applying Differential Privacy with Sparse Vector Technique.

Yan Chen

PhD thesis, 2018

Is my model any good: differentially private regression diagnostics.

Yan Chen, Andrés F. Barrientos, Ashwin Machanavajjhala, Jerome P. Reiter

Knowl. Inf. Syst., 2018

IoT-Detective: Analyzing IoT Data Under Differential Privacy.

Sameera Ghayyur, Yan Chen, Roberto Yus, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, Sharad Mehrotra

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

PeGaSus: Data-Adaptive Differentially Private Stream Processing.

Yan Chen, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Exploring Privacy-Accuracy Tradeoffs using DPComp.

Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias

Proceedings of the 2016 International Conference on Management of Data, 2016

Principled Evaluation of Differentially Private Algorithms using DPBench.

Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang

Proceedings of the 2016 International Conference on Management of Data, 2016

Differentially Private Regression Diagnostics.

Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

On the Privacy Properties of Variants on the Sparse Vector Technique.

Yan Chen, Ashwin Machanavajjhala

CoRR, 2015

2014

Differentially Private Algorithms for Empirical Machine Learning.

Ben Stoddard, Yan Chen, Ashwin Machanavajjhala

CoRR, 2014