Sadia Afroz, PhD, is a research scientist at the International Computer Science Institute (ICSI). Before joining ICSI, She was a postdoc at UC Berkeley and a PhD student at Drexel University. Her work focuses on anti-censorship, anonymity and adversarial learning. Her work on adversarial authorship attribution received the 2013 Privacy Enhancing Technology (PET) award, the best student paper award at the 2012 Privacy Enhancing Technology Symposium (PETS) and the 2014 ACM SIGSAC dissertation award (runner-up).
Her research interests include security, privacy and machine learning. Her PhD thesis on Stylometry and understanding its implication on users’ anonymity was selected as the runner-up for the ACM SIGSAC Dissertation Award 2014. She has extensive experiences on delivering talks.

Catch her on 14th December at AUDI801, NSU at 11:00 AM, where she will be delivering a talk on “Differential Treatment of Internet Users”. One of the Internet’s greatest strengths is the degree to which it facilitates access to any of its resources from users anywhere in the world. Various forces, however, have arisen that restrict particular users from accessing particular destinations, resulting in a “balkanization” of the network. She will mainly talk about the discrimination of anonymous users, and then briefly touch on how the same discrimination mechanisms discriminate against the users.