The Third Workshop on the Theory and Practice of Differential Privacy (TPDP 2017) seeks contributions from different research areas of computer science and statistics. Authors are invited to submit a short abstract (2-4 pages maximum) of their work. Submissions will undergo a lightweight review process and will be judged on originality, relevance, interest and clarity. Submissions should describe novel works or works that have already appeared elsewhere but that can stimulate the discussion between different communities at the workshop. Accepted abstracts will be presented at the
The Privacy Tools team participated in the 2017 Dataverse Community Meeting, which took place on June 14th, 15th, and 16th at Harvard University. PI Merce Crosas co-organized the meeting in conjunction with Harvard's Institute for Quantitative Social Science. Six team members contributed posters pertaining to their research. The meeting included a presentation on Dataverse by PIs Gary King and Merce Crosas, as well as a discussion of TwoRavens by PI James
PI Kobbi Nissim is co-organizing a semester-long program at the Simons Institute for the Theory of Computing. "Foundations and Applications of Data Privacy," which will take place during the 2019 Spring semester, will aim to advance core research on privacy and to foster new collaborations between researchers who work on theoretical aspects of data privacy and those who work in areas of potential applications.
Privacy Tools team members Salil Vadhan, Cynthia Dwork, Kobbi Nissim, Marco Gaboardi, Vishesh Karwa, Jon Ullman, and Alexandra Wood presented at the Data Privacy Planning Workshop at the Simons Institute for the Theory of Computing on May 22nd - 24th, 2017.
The goal of the planning workshop was to refine the scope of a semester-long program on "Foundations and Applications of Data Privacy", which will be held at the Simons Institute in Spring 2019. Participants planned activities that will foster
PI Latanya Sweeney has been named in a Forbes article highlighting the work of 20 women who are at the cutting edge of advancing research in artificial intelligence:
Force11, a community working together in support of the goal of advancing scholarly communication, has published a solicitation for a system to create decision trees for dataset-related questions, such as "can I make my data open?." Team members Merce Crosas and Michael Bar-Sinai submitted the winning proposal, based on the DataTags/PolicyModels toolset. Their plan
On February 22nd, Graduate Student Michael Bar-Sinai presented at European Social Policy Analysis network (ESPAnet) Israel 2017, the Israeli branch of the ESPAnet conference. The 2017 conference was called "Who Cares?" and focused on caring and compassion in welfare states during the neoliberal age. Bar-Sinai presented a poster (co-authored with Rotem Medzini of Stanford Law School) modeling welfare benefit policies using the DataTags toolset, and demonstrated it on the unemployment benefits chapter of the Israeli law.
