Physical sensors (thermal, light, motion, etc.) are becoming ubiquitous and offer important benefits to society. However, allowing sensors into our private spaces has resulted in considerable privacy concerns. Differential privacy has been developed to help alleviate these privacy concerns. In this talk, we'll develop and define a framework for releasing physical data that preserves both utility and provides privacy. Our notion of closeness of physical data will be defined via the Earth Mover Distance and we'll discuss the implications of this choice.
Over the last decade, the development of fast and reliable motion planning algorithms has deeply influenced many domains in robotics, such as industrial automation and autonomous exploration. Motion planning has also contributed to great advances in an array of unlikely fields, including graphics animation and computational structural biology.
In this talk I will discuss the problem of trying to learn the requirements and preferences of economic agents by observing the outcomes of an allocation mechanism whose rules you also don’t initially know. As an example, consider observing web pages where the agents are advertisers and the winners are those whose ads show up on the given page. We know these ads are placed based on bids and other constraints given to some auction mechanism, but we do not get to see these bids and constraints.
News & Announcements
Panigrahi Receives NSF CAREER Award
Debmalya Panigrahi has received a CAREER Award from the National Science Foundation for a project entitled "CAREER: New Directions in Graph Algorithms." Total funding will be $515,998 over 5 years. The award will support Panigrahi's research into fundamental problems in graph algorithms seeking generic solutions for core algorithmic challenges in modern networks: efficiency at scale, uncertainty and impreciseness of network requirements, and correlation effects. This is NSF's most prestigious award in support of junior faculty. More
Stephen-Martinez Joins Faculty
The Department welcomes Kristin Stephens-Martinez, who has joined CS as an Assistant Professor of the Practice of Computer Science
Duke Hosted ACM Programming Contest 2017
Duke hosted the 2017 annual ACM Regional Programming Contest on November 11. There were six Duke teams. The Duke team Wing placed highest, taking 4th place overall out of 171 teams. Wing team members were Liang Lyu, Yunhao Qing, and Yikai Wu. More