Associate Professor
Knight Foundation School of Computing and Information Sciences
Florida International University
Office: CASE 365
Email: carbunar at cs dot fiu dot edu
CV
About
I am an associate professor in the Knight Foundation School of Computing and
Information Sciences at FIU, and director of the CaSPR lab in Miami.
I study how powerful actors that include corporations, governments, and coordinated networks shape information online. We develop methods that detect manipulation, explain risks to users, and enable protective action. Our goal is to shift power back to users by strengthening autonomy, privacy, and security at scale. At CaSPR, we:
Build and evaluate secure, privacy-preserving systems
Combine AI, applied cryptography, systems engineering, and user studies
Detect and audit manipulative information flows at platform scale
Translate research into practical defenses that restore user control
Recent Publications
[ACM CSCW]
Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S.
Zaid Hakami, Yuzhou Feng, Bogdan Carbunar.
Accepted in the Proceedings of the ACM on Human-Computer Interaction (PACMHCI), 2025.
[pdf]
[IEEE S&P]
INVISILINE: Invisible Plausibly-Deniable Storage.
Sandeep Pinjala, Bogdan Carbunar, Anrin Chakraborti, Radu Sion.
In Proceedings of the IEEE Symposium on Security and Privacy, 2024.
[pdf]
[Usenix Security]
A Study of China's Censorship and Its Evasion Through the Lens of Online Gaming.
Yuzhou Feng, Ruyu Zhai, Radu Sion, Bogdan Carbunar.
In Proceedings of the 32nd Usenix Security Symposium, August 2023.
[pdf]
Current students:
    Ashfaq Ali Shafin
    Zaid Hakami
Former students:
    Yuzhou (Aaron) Feng, Ph.D., Thesis title: ``Evading Information Cocoons: Defenses Against the Interplay of Censorship and False Information''. Defended: March 2025.
    Rubén Recabarren, Ph.D., Thesis title: ``Secure Distributed Systems in Satoshi Blockchains''. Defended: March 2021. First employer: Facebook
    Nestor G. Hernandez, Ph.D., Thesis title: ``Demystifying Search Optimization Fraud in App Markets''. Defended: June 2020. First employer: MathWorks
    Mozhgan Azimpurkivi, Ph.D., Thesis title: ``Image Based Authentication''. Defended: March 2019. First employer: Bloomberg LP (AI Software Engineer)
    Sajedul Talukder, Ph.D., Thesis title: ``Detection and Prevention of Abuse in Online Social Networks''. Defended: April 2019. First employer: Edinboro University
    Md Mizanur Rahman, Ph.D. Thesis title: ``Search Rank Fraud Prevention in Online Systems''. Defended: November 2018. First employer: Amazon
    Mahmudur Rahman, Ph.D. Defended: December 2015. First employer: IBM Watson
    George Burri. M.S., First employer: Jive Software
    Madhusudan Banik. M.S. First employer: Eden Rock Communications