Muhammad Jazlan‘s research interests are on advanced anti-tracking techniques using LLMs. At the surface level, Muhammad is trying to classify tracking URLs without the use of filter lists, using the LLM itself as a contextual classifier. The end goal is to come up with an end-to-end deployable system for end users PhD student advised by…Continue Reading Muhammad Jazlan
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 was an undergraduate researcher advised by Zubair Shafiq. His research interests included 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