Basileal Imana

Basileal Imana‘s research interests broadly lie in studying privacy and algorithmic fairness properties of real-world systems on the Internet. He is currently focused on developing novel methods for auditing the fairness of algorithms used to deliver content on social media platforms without introducing new privacy risks to platforms and users. Postdoc Scholar advised by Aleksandra…Continue Reading Basileal Imana

Ismat Jarin

Ismat Jarin’s research interests include Privacy and Machine Learning, specifically, designing defense mechanisms to secure Machine Learning as a Service (MLaaS) systems. Additionally, she is interested in Differential Privacy, Federated Learning, and Adversarial Machine learning. PhD student advised by Athina Markopoulou….Continue Reading Ismat Jarin

Hari Venugopalan

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