Hari Venugopalan‘s research interests broadly focus on privacy preserving fraud detection. On the one hand, while analyzing the user’s behavior and environment provides strong signals to detect fraud, they can also be abused to invade user privacy. His research focuses on ML and systems that protect user privacy while not compromising other utilities such as…Continue Reading Hari Venugopalan
Yash Vekaria‘s research interests include Security, Privacy and Machine Learning. His focus is towards making our web more secure and private with the use of ML-based techniques. He carries out web-based large-scale Internet measurements to study and improve the dynamics of web. PhD student advised by Zubair Shafiq….Continue Reading Yash Vekaria
Umar Iqbal graduated in 2021 and completed a two year postdoc at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He is now an Assistant Professor at the Washington University in St. Louis. He researches web privacy and security with an aim to bring more transparency and control…Continue Reading Umar Iqbal
Syed Mahbub Hafiz finished his postdoc at UC Davis where he explored Private Information Retrieval (PIR), a Privacy-Enhancing Cryptography-based Technology, to turn it from a theoretical construct to a useful tool in the privacy practitioners toolkit. He worked closely with Zubair Shafiq….Continue Reading Syed Mahbub Hafiz
Shaoor Munir conducts research on ensuring online privacy and security by targeting new practices being employed by trackers and advertisers. Specifically, his current research revolves around using machine learning algorithms to identify misuse of first party cookies, separate out functional and tracking methods bundled together in script, and evaluating security of future replacements for third…Continue Reading Shaoor Munir