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Student Research

Posters of recent research done by students / researchers on the project:

2014

  1. "Private Release and Learning of Thresholds" by Mark Bun
  2. "Two Ravens" by Vito D'Orazio
  3. "Privately Releasing Quantiles" by Nathan Manohar
  4. "Approximating the Optimal Composition of Differentially Private Mechanisms" by Jack Murtagh
  5. "Privacy Games" by Or Sheffet
  6. "Hardness of Preventing False Discovery" by Thomas Steinke
  7. "Learning Privately with Labeled and Unlabeled Examples" by Uri Stemmer
  8. “Privacy Integrated Data Stream Queries" by Lucas Waye
  9. "Data Tags: Legal Research & Development" Alexandra Wood
  10. "Differential Privacy of Bayesian Inference" by Joy Zheng

2013

  1. "Towards Language-­Based Anonymous Communication" by Aslan Askarov
  2. "DataTags" by Michael Bar-Sinai
  3. "Sample Complexity of Differential Privacy" by Mark Bun
  4. "Faster Private Release of Marginals on Small Databases" by Karthik Chandrasekaran
  5. "Stochastic Blockmodel Approximation of a Graph on: Theory and Consistent Estimation" by Thiago Costa
  6. "Faster Algorithms for Private Data Release" by Anna Gavrilman
  7. "Logistic Regression with Differential Privacy" by Paul Handorff
  8. "The exponential mechanism via MCMC" by Alex Makelov
  9. "Answering n2+o(1)Counting Queries with Differential Privacy is Hard" by Jon Ullman
  10. "Differentially Private Streaming Algorithms in PINQ" by Lucas Waye
  11. "Legal Approaches to Information Privacy and Data Sharing" by Alexandra Wood and Kit Walsh
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