PPT-Introduction to Differential Privacy

Jeremiah Blocki CS555 11222016 Credit Some slides are from Adam Smith Differential Privacy Privacy in Statistical Databases Individuals Se r v eragency x 1 x 2 x n. Differential Privacy. Salil Vadhan. Harvard University. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. Thank you . Shafi. & Silvio. For.... inspiring . December . 2, 2014. 1. Required Reading. A firm foundation for private data analysis. . Dwork. , C. Communications of the ACM, 54(1), 86-95. . 2011.. Privacy by the Numbers: A New Approach to Safeguarding Data. Erica . Yotam. . Aron. Table of Contents. Introduction. Differential Privacy for Linked Data. SPIM implementation. Evaluation. Contributions. Theory: how to apply differential privacy to linked data.. Implementation: privacy module for SPARQL queries.. Differentially Private Model Fitting Using Genetic Algorithms. Jun Zhang. , Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Marianne . Winslett. Differential Privacy. A database system with differential privacy. Aleksandar (. Sasho. ) . Nikolov. Rutgers University. The Streaming Model. Underlying . frequency vector. . A. = . A [1], …, A[. n. ] . start with . A[. i. ] = 0 . for all . i. . . We observe an . Differential Privacy. Eric Shou. Stat/CSE 598B. What is Game Theory?. Game theory. is a branch of applied mathematics that is often used in the context of . economics.. S. tudies . strategic interactions between agents. . Approximate . Revenue Maximization. Ruihao. Zhu. . and . Kang G. Shin. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor. 1. Outline . Background. Design Goal. Cynthia Dwork, Microsoft Research . TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. Pre-Modern Cryptography. Propose. Break. Modern Cryptography. 2, 2014. 1. Required Reading. A firm foundation for private data analysis. . Dwork. , C. Communications of the ACM, 54(1), 86-95. . 2011.. Privacy by the Numbers: A New Approach to Safeguarding Data. Erica . 5. Lecturer:. . Moni. Naor. Desirable Properties from a sanitization mechanism. Composability. Applying the sanitization several time yields a . graceful degradation. . Will see: . t. . releases , each . Machine Learning, and Back. Abhradeep Guha Thakurta. Yahoo . Labs, Sunnyvale. Thesis: Differential privacy . generalizability. Stable learning . differential privacy.  . Towards a rigorous notion of statistical data privacy. Moni. Naor. Weizmann Institute of Science. The Brussels Privacy . Symposium. November 8. th. 2016. What is Differential Privacy. Differential Privacy is a concept . Motivation. Rigorous mathematical definition. The Promise of Differential Privacy Cynthia Dwork , Microsoft Research TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A A On the Primacy of Definitions Salil Vadhan. Harvard University. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. Thank you . Shafi. & Silvio. For.... inspiring . us with beautiful science.