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239 results
2017
Marko Mitrovic, Mark Bun, Andreas Krause, and Amin Karbasi. 2017. “Differentially Private Submodular Maximization: Data Summarization in Disguise”. In Proceedings of the 34th International Conference on Machine Learning (ICML 2017)
Marko Mitrovic, Mark Bun, Andreas Krause, and Amin Karbasi. 2017. “Differentially Private Submodular Maximization: Data Summarization in Disguise”. In Proceedings of the 34th International Conference on Machine Learning (ICML 2017)
Many data summarization applications are captured by the general framework of submodular maximization. As a consequence, a wide range of efficient approximation algorithms have been developed. However, when such applications involve sensitive data about...
Latanya Sweeney, Ji Su Yoo, and Jinyan Zang. 2017. “Voter Identity Theft: Submitting Changes to Voter Registrations Online to Disrupt Elections”. in Technology Science
Latanya Sweeney, Ji Su Yoo, and Jinyan Zang. 2017. “Voter Identity Theft: Submitting Changes to Voter Registrations Online to Disrupt Elections”. in Technology Science
Thomas Steinke and Jonathan Ullman. 2017. “Between Pure and Approximate Differential Privacy”. Journal of Privacy and Confidentiality
Thomas Steinke and Jonathan Ullman. 2017. “Between Pure and Approximate Differential Privacy”. Journal of Privacy and Confidentiality
We show a new lower bound on the sample complexity of (ε, δ)-differentially private algorithms that accurately answer statistical queries on high-dimensional databases. The novelty of our bound is that it depends optimally on the parameter δ, which...
Michael Bar-Sinai and Rotem Medzini. 2017. “Public Policy Modeling Using the DataTags Toolset”. In European Social Policy Analysis Network (ESPAnet). Israel
Michael Bar-Sinai and Rotem Medzini. 2017. “Public Policy Modeling Using the DataTags Toolset”. In European Social Policy Analysis Network (ESPAnet). Israel
We apply Tags, a framework for modeling data handling policies, to a welfare policy. The generated model is useful for assessing entitlements of specific cases, and for gaining insights into the modeled policy as a whole.
Merce Crosas. 2017. “The DataTags System: Sharing Sensitive Data With Confidence”. Research Data Alliance (RDA) 8th Plenary on Privacy Implications of Research Data Sets, During International Data Week 2016
Merce Crosas. 2017. “The DataTags System: Sharing Sensitive Data With Confidence”. Research Data Alliance (RDA) 8th Plenary on Privacy Implications of Research Data Sets, During International Data Week 2016
Cynthia Dwork. 2017. “What’s Fair?”. in the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017)
Cynthia Dwork. 2017. “What’s Fair?”. in the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017)
Thomas Steinke and Jonathan Ullman. 2017. “Tight Lower Bounds for Differentially Private Selection”. in the 58th Annual Symposium on Foundations of Computer Science (FOCS 2017)
Thomas Steinke and Jonathan Ullman. 2017. “Tight Lower Bounds for Differentially Private Selection”. in the 58th Annual Symposium on Foundations of Computer Science (FOCS 2017)
Mitali Bafna and Jonathan Ullman. 2017. “The Price of Selection in Differential Privacy”. Proceedings of The 30th Conference on Learning Theory Conference (COLT 2017)
Mitali Bafna and Jonathan Ullman. 2017. “The Price of Selection in Differential Privacy”. Proceedings of The 30th Conference on Learning Theory Conference (COLT 2017)
Alexandra Wood, Micah Altman, Suso Baleato, and Salil Vadhan. 2017. Comments on the City of Seattle Open Data Risk Assessment. Comments to the Future of Privacy Forum
Alexandra Wood, Micah Altman, Suso Baleato, and Salil Vadhan. 2017. Comments on the City of Seattle Open Data Risk Assessment. Comments to the Future of Privacy Forum
The transparency goals of the open data movement serve important social, economic, and democratic functions in cities like Seattle. At the same time, some municipal datasets about the city and its citizens’ activities carry inherent risks to individual...
2016
Urs Gasser. 2016. “Recoding Privacy Law: Reflections on the Future Relationship Among Law, Technology, and Privacy”. Harvard Law Review
Urs Gasser. 2016. “Recoding Privacy Law: Reflections on the Future Relationship Among Law, Technology, and Privacy”. Harvard Law Review
G. Barthe, M. Gaboardi, E. J. Gallego Arias, J. Hsu, A. Roth, and P.-Y. Strub. 2016. “Computer-Aided Verification in Mechanism Design”. Conference on Internet and Economics, WINE
G. Barthe, M. Gaboardi, E. J. Gallego Arias, J. Hsu, A. Roth, and P.-Y. Strub. 2016. “Computer-Aided Verification in Mechanism Design”. Conference on Internet and Economics, WINE
Georgios Kellaris, George Kollios, Kobbi Nissim, and Adam O’Neill. 2016. “Generic Attacks on Secure Outsourced Databases”. 23rd ACM Conference on Computer and Communications Security
Georgios Kellaris, George Kollios, Kobbi Nissim, and Adam O’Neill. 2016. “Generic Attacks on Secure Outsourced Databases”. 23rd ACM Conference on Computer and Communications Security
Recently, various protocols have been proposed for securely outsourcing database storage to a third party server, ranging from systems with “full-fledged” security based on strong cryptographic primitives such as fully homomorphic encryption or oblivious...