Alexandr Goultiaev Tolstokorov

Alexandr Tolstokorov‘s research interests lie broadly along distributed and decentralized machine learning, the data economy, data valuation and the ways to ensure privacy and transparency in such systems. His current work is in exploring the role of data valuation and the cost associated with it in federated data marketplaces. PhD Student advised by Nikolaos Laoutaris….Continue Reading Alexandr Goultiaev Tolstokorov

Rajvardhan Oak

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

Tu Le

Tu Le‘s research interests broadly include interdisciplinary research in Security and Privacy, Internet of Things (IoT), and Human-Computer Interaction with applications to Urban Systems and Public Policy. He has worked on several topics such as the security and privacy of voice-controlled devices, privacy protection for non-experts, and privacy preferences for smart building data collections. His…Continue Reading Tu Le