Raj Oak‘s research interest lie at the intersection of machine learning and internet security. His current work focuses on understanding how underground incentivized review services work, how they evade detection and whether machine learning can help detect such reviews. Additionally, he is also examining click fraud and how malicious JavaScript libraries can cause click hijacking….Continue Reading Rajvardhan Oak
Abdul Haddi Amjad’s research focuses on solving internet security and privacy problem using software engineering techniques. The main objective of his research is to overcome the limitations of privacy-enhancing technologies and create automated frameworks using software engineering techniques, such as automated fault localization. Amjad is a Ph.D student at Virginia Tech. His advisors are Muhammad…Continue Reading Abdul Haddi Amjad
Jake Smith is an undergraduate researcher advised by Zubair Shafiq. His research interests include network privacy and machine learning, with current work aiming to detect novel cookie matching end-points using graph based machine learning….Continue Reading Jake Smith
USC PhD Student, Jiang Zhang, presented work on a new adversarial approach to subvert online behavioral advertising at the 2022 Network and Distributed System Security (NDSS) Symposium. HARPO is joint work lead by Frontier graduate students, Jiang Zhang and Muhammad Haroon, in PI Shafiq’s and PI Psounis’s groups. [NDSS Abstract] [Paper]…Continue Reading HARPO presented at NDSS 2022
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