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TPDP 2016 – Theory and Practice of Differential Privacy

TPDP 2016 - Theory and Practice of Differential Privacy. New York, USA - 23 June 2016 - part of ICML 2016. Program - room O'Neil, Marriott Hotel. Machine Learning and Privacy: Friends or Foes? Make Up Your Mind: The Price of Online Queries in Differential Privacy. Mark Bun, Thomas Steinke and Jonathan Ullman. Principled Evaluation of Differentially Private Algorithms. Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen and Dan Zhang. New Directions in Privacy-Preserving Data Analysis. Rachel ***...

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TPDP 2016 – Theory and Practice of Differential Privacy | tpdp16.cse.buffalo.edu Reviews
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TPDP 2016 - Theory and Practice of Differential Privacy. New York, USA - 23 June 2016 - part of ICML 2016. Program - room O'Neil, Marriott Hotel. Machine Learning and Privacy: Friends or Foes? Make Up Your Mind: The Price of Online Queries in Differential Privacy. Mark Bun, Thomas Steinke and Jonathan Ullman. Principled Evaluation of Differentially Private Algorithms. Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen and Dan Zhang. New Directions in Privacy-Preserving Data Analysis. Rachel ***...
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1 welcome
2 vitaly shmatikov
3 invited speaker
4 coffee break
5 kamalika chaudhuri
6 jeremiah blocki
7 kobbi nissim
8 yu xiang wang
9 poster session
10 posters
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TPDP 2016 – Theory and Practice of Differential Privacy | tpdp16.cse.buffalo.edu Reviews

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TPDP 2016 - Theory and Practice of Differential Privacy. New York, USA - 23 June 2016 - part of ICML 2016. Program - room O'Neil, Marriott Hotel. Machine Learning and Privacy: Friends or Foes? Make Up Your Mind: The Price of Online Queries in Differential Privacy. Mark Bun, Thomas Steinke and Jonathan Ullman. Principled Evaluation of Differentially Private Algorithms. Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen and Dan Zhang. New Directions in Privacy-Preserving Data Analysis. Rachel ***...

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Aaron Roth

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Raj and Neera Singh Assistant. Associate Professor of Computer and Information Science at the University of Pennsylvania. Associated with the theory group. Our new program in Networked and Social Systems Engineering. And the Warren Center for Network and Data Sciences. I am also affilied with the AMCS. Program (Applied Mathematics and Computational Science). I spent a year as a postdoc at Microsoft Research New England. Before that, I received my PhD from Carnegie Mellon University. Spring 2013: MKSE 150...

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TPDP 2016 – Theory and Practice of Differential Privacy

TPDP 2016 - Theory and Practice of Differential Privacy. New York, USA - 23 June 2016 - part of ICML 2016. Program - room O'Neil, Marriott Hotel. Machine Learning and Privacy: Friends or Foes? Make Up Your Mind: The Price of Online Queries in Differential Privacy. Mark Bun, Thomas Steinke and Jonathan Ullman. Principled Evaluation of Differentially Private Algorithms. Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen and Dan Zhang. New Directions in Privacy-Preserving Data Analysis. Rachel Cum...

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