Posters of recent research done by students / researchers on the project:
2014
- "Private Release and Learning of Thresholds" by Mark Bun
- "Two Ravens" by Vito D'Orazio
- "Privately Releasing Quantiles" by Nathan Manohar
- "Approximating the Optimal Composition of Differentially Private Mechanisms" by Jack Murtagh
- "Privacy Games" by Or Sheffet
- "Hardness of Preventing False Discovery" by Thomas Steinke
- "Learning Privately with Labeled and Unlabeled Examples" by Uri Stemmer
- “Privacy Integrated Data Stream Queries" by Lucas Waye
- "Data Tags: Legal Research & Development" Alexandra Wood
- "Differential Privacy of Bayesian Inference" by Joy Zheng
2013
- "Towards Language-Based Anonymous Communication" by Aslan Askarov
- "DataTags" by Michael Bar-Sinai
- "Sample Complexity of Differential Privacy" by Mark Bun
- "Faster Private Release of Marginals on Small Databases" by Karthik Chandrasekaran
- "Stochastic Blockmodel Approximation of a Graph on: Theory and Consistent Estimation" by Thiago Costa
- "Faster Algorithms for Private Data Release" by Anna Gavrilman
- "Logistic Regression with Differential Privacy" by Paul Handorff
- "The exponential mechanism via MCMC" by Alex Makelov
- "Answering n2+o(1)Counting Queries with Differential Privacy is Hard" by Jon Ullman
- "Differentially Private Streaming Algorithms in PINQ" by Lucas Waye
- "Legal Approaches to Information Privacy and Data Sharing" by Alexandra Wood and Kit Walsh