- Our Work
Research on machine learning (ML) algorithms, as well as on their ethical impacts, has focused largely on mathematical or computational questions. However, for algorithmic systems to be useful, reliable, ...
The Princeton TechSoc Reading Group is dedicated to exploring the interrelationships between technology and society, with an emphasis on IT policy issues. Subscribe here to the email list. The group will meet every other Thursday (starting on 1/27/22) at 3 p.m. in 306 Sherrerd Hall and/or virtually. The theme this semester is Tech and the Environment. For additional information please contact Klaudia Jazwinska at or Christelle Tessono at . Click here for information on all of CITP Reading Groups.
The Tech & Labor reading group meets biweekly to read and discuss material pertaining to topics at the intersection of technology and labor. Each meeting is centered around a broader discussion theme represented by 1-2 core readings, and will have a number of optional readings (including from non-academic sources). We will occasionally invite the authors of these papers to join the discussions. For additional information please contact Mona Wang at or Sayash Kapoor at . Click here for information on all of…
"Dos and Dont's of Machine Learning in Computer Security" by Arp et al, to be presented at the upcoming Usenix Security. https://www.usenix.org/conference/usenixsecurity22/presentation/arp The Security and Privacy Reading Group is for those who want to read recent papers in security and privacy. Our goal is to understand the state-of-the-art in digital security and privacy. Papers can include the latest conference papers and influential papers. We’ll maintain a broad definition of security to encourage diversity of ideas and cross-talk between disciplines. Please…
CITP Reading Group: Security and Privacy