Dr. Sajedul Talukder
Dr. Sajedul Talukder
Assistant Professor
Director, Security and Privacy Enhanced Machine Learning Lab
Engineering A0407, School of Computing
Southern Illinois University
(618) 453-6059
[Curriculum Vitae]
Witty Quote

“Companies spend millions of dollars on firewalls, encryption, and secure access devices, and its money wasted; none of these measures address the weakest link in the security chain.” – Kevin Mitnick

Research Summary
My current research interests span the areas of security, privacy, and distributed systems empowered by machine learning models and privacy-enhancing technologies. I also investigate disinformation, fraud, cyberattacks, and cyberabuse in online and geosocial networks, with a focus on leveraging differential privacy, deep learning, and federated learning to address complex societal challenges. My overarching goal is to design and develop applied AI for social good to provide a safe and trustworthy online ecosystem. Broadly speaking, my research belongs to the area of trustworthy social and ubiquitous computing (which deals with the fundamental principles of security and privacy preservation), an upcoming field that is still in its infancy and whose theoretical foundations are just being laid. I direct the Security and Privacy Enhanced Machine Learning (SUPREME) Lab at SIU, where my group develop privacy-enhanced secure systems and applied machine learning solutions.
  • Security & Privacy
  • Machine Learning
  • Online Social Networks
  • Distributed Systems
  • Abuse Detection
  • AI for Social Good
Selected Media Coverage
NBC 6 coverage of my Facebook research
My interview with Sage Research Methods
Few Selected Projects
Older Projects