[This post is joint work with Princeton graduate student Changchang Liu and IBM researcher Supriyo Chakraborty. See our paper for full details. — Prateek Mittal ] The tussle between data utility and data privacy Information sharing is important for realizing the vision of a data-driven customization of our environment. Data that were earlier locked up […]
Differential Privacy is Vulnerable to Correlated Data — Introducing Dependent Differential Privacy
August 26, 2016 by
Security against Election Hacking – Part 2: Cyberoffense is not the best cyberdefense!
August 18, 2016 by
State and county election officials across the country employ thousands of computers in election administration, most of them are connected (from time to time) to the internet (or exchange data cartridges with machines that are connected). In my previous post I explained how we must audit elections independently of the computers, so we can trust the […]
The workshop on Data and Algorithmic Transparency
August 10, 2016 by
From online advertising to Uber to predictive policing, algorithmic systems powered by personal data affect more and more of our lives. As our society begins to grapple with the consequences of this shift, empirical investigation of these systems has proved vital to understand the potential for discrimination, privacy breaches, and vulnerability to manipulation. This emerging […]
A response to the National Association of Secretaries of State
August 9, 2016 by
Election administration in the United States is largely managed state-by-state, with a small amount of Federal involvement. This generally means that each state’s chief election official is that state’s Secretary of State. Their umbrella organization, the National Association of Secretaries of State, consequently has a lot of involvement in voting issues, and recently issued a […]
