Adversarial information ecosystems
Influence operations, misinformation, coordinated manipulation, and platform-scale auditing.
CaSPR Lab · Florida International University
Associate Professor, Knight Foundation School of Computing and Information Sciences
I study how information control, online manipulation, and security threats emerge across sociotechnical systems. My group builds systems and measurement methods that detect coordinated manipulation, characterize censorship and misinformation environments, explain risks to users, and support protective action.
Research identity
At CaSPR, we combine AI, applied cryptography, systems engineering, and user studies to build practical defenses that strengthen user autonomy, privacy, and security. Our work spans influence operations, censorship resistance, plausibly deniable storage, fraud and abuse detection, and human-centered security tools.
Research themes
Influence operations, misinformation, coordinated manipulation, and platform-scale auditing.
Systems that help users access information, protect sensitive data, and survive coercive inspection.
Measurement and defenses for app-market fraud, search-rank manipulation, deceptive promotion, and social-network abuse.
User studies, authentication, liveness verification, privacy-preserving systems, and protective interface design.
Selected projects
Influence operations
Methods for discovering coordinated campaigns through duplicated content, attribution signals, and platform-scale analysis.
Censorship · misinformation
Mixed-methods research on how users experience censored information environments and how verification, evasion, and trust are reshaped.
Plausible deniability
Storage systems and surveys for protecting sensitive data against coercive disclosure, forensic inspection, and strong adversaries.
Anti-censorship systems
Empirical and systems work on covert access channels, platform-mediated evasion, and uncensorable access mechanisms.
Fraud and abuse
Measurements and defenses for fraudulent app promotion, rank manipulation, malware signals, and abusive social-network behavior.
Authentication
Human-distinguishable key fingerprints, camera-based 2FA, and sensor-based liveness verification for mobile and wearable settings.
Selected publications
Ashfaq Ali Shafin, Md. Nahid Siddique, Bogdan Carbunar.
Zaid Hakami, Yuzhou Feng, Bogdan Carbunar.
Sandeep Pinjala, Bogdan Carbunar, Anrin Chakraborti, Radu Sion.
Yuzhou Feng, Ruyu Zhai, Radu Sion, Bogdan Carbunar.
Ruben Recabarren, Bogdan Carbunar, Nestor Hernandez, Ashfaq Ali Shafin.
Ruben Recabarren, Bogdan Carbunar.
Chen Chen, Xiao Liang, Bogdan Carbunar, Radu Sion.
Nestor Hernandez, Ruben Recabarren, Bogdan Carbunar, Syed Ishtiaque Ahmed.
Mozhgan Azimpourkivi, Umut Topkara, Bogdan Carbunar.
Mizanur Rahman, Nestor Hernandez, Ruben Recabarren, Syed Ishtiaque Ahmed, Bogdan Carbunar.
People
I advise Ph.D. and M.S. students working on security, privacy, online manipulation, censorship resistance, distributed systems, and human-centered defenses.
Prospective Ph.D. students interested in these areas are welcome to read about the CaSPR Lab and contact me with a short research statement, CV, and relevant papers or projects.
Recognition
Best Student Paper Award at SIAM SDM; Best Paper Award at HotPOST; Nicholas D. Georganas Best Paper Award for ACM TOMM work.
U.S. patents on content caching, secure synchronization, motion passwords, anonymous source routing, and related systems.
Research covered by outlets including The Verge, The Register, CyberScoop, BleepingComputer, ZDNet, Nature News, and others.
Professional service
I serve the security, privacy, web, and social computing communities through program committees, workshop roles, and reviewing.
Security and privacy: IEEE Security and Privacy, PoPETS, ACM AsiaCCS, CANS, NDSS, FC, WPES, CCSW.
Web, wireless, and social computing: ACM Web Conference, ACM WiSec, ICWSM-adjacent social computing venues, LCN, ICNC.
Recent PC/service examples: IEEE S&P 2025–2026, ACM Web Conference 2019–2023, ACM WiSec 2020–2025, PoPETS 2019–2021.