Phani Vadrevu

Assistant Professor

Contact

[email protected] 
Office 3209E
Patrick F. Taylor Hall

Educational Background

Ph.D. in Computer Science, University of Georgia, 2017

B.E. in Mechanical Engineering, BITS Pilani, India, 2010

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Phani Vadrevu

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  • CSC 2160: Cloud Fundamentals and Web Programming
  • Cybercrime
  • Web Security and Privacy
  • Security and Privacy Measurements
  • User-Oriented Security Research
  • Network Security
  • Acharya, B., Saad, M., Cinà, A. E., Schönherr, L., Dai Nguyen, H., Oest, A., ... & Holz, T. (2024, May). Conning the crypto conman: End-to-end analysis of cryptocurrency-based technical support scams. In 2024 IEEE Symposium on Security and Privacy (SP) (pp. 17-35). IEEE.
  • Dai Nguyen, H., Subramani, K., Acharya, B., Perdisci, R., & Vadrevu, P. (2024, May). C-Frame: Characterizing and measuring in-the-wild CAPTCHA attacks. In 2024 IEEE Symposium on Security and Privacy (SP) (pp. 277-295). IEEE.
  • Ozen, I., Subramani, K., Vadrevu, P., & Perdisci, R. (2024). SENet: Visual Detection of Online Social Engineering Attack Campaigns. arXiv preprint arXiv:2401.05569.
  • Liu, J., Pun, P., Vadrevu, P., & Perdisci, R. (2023, July). Understanding, measuring, and detecting modern technical support scams. In 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P) (pp. 18-38). IEEE.
  • Subramani, K., Melicher, W., Starov, O., Vadrevu, P., & Perdisci, R. (2022, October). PhishInPatterns: measuring elicited user interactions at scale on phishing websites. In Proceedings of the 22nd ACM Internet Measurement Conference (pp. 589-604).
  • Chalise, S., Nguyen, H. D., & Vadrevu, P. (2022, October). Your speaker or my snooper? measuring the effectiveness of web audio browser fingerprints. In Proceedings of the 22nd ACM Internet Measurement Conference (pp. 349-357).
  • Acharya, B., & Vadrevu, P. (2022, June). A human in every ape: Delineating and evaluating the human analysis systems of anti-phishing entities. In International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment (pp. 156-177). Cham: Springer International Publishing.
  • Acharya, B., & Vadrevu, P. (2021). {PhishPrint}: evading phishing detection crawlers by prior profiling. In 30th USENIX Security Symposium (USENIX Security 21) (pp. 3775-3792).
  • Subramani, K., Yuan, X., Setayeshfar, O., Vadrevu, P., Lee, K. H., & Perdisci, R. (2020, October). When push comes to ads: Measuring the rise of (malicious) push advertising. In Proceedings of the ACM Internet Measurement Conference (pp. 724-737).
  • Vadrevu, P., & Perdisci, R. (2019, October). What you see is not what you get: Discovering and tracking social engineering attack campaigns. In Proceedings of the Internet Measurement Conference (pp. 308-321).
  • 2023: ACM CCS 2023: Top Reviewer Award 
  • 2020: Vulnerability Research Award for "Abuse-related methodologies" from Google. $5,000 Awarded for research work that discovered issues in Google's anti-phishing systems. 
  • 2020-2022: 9 Vulnerability Research Grants Awarded for discovering new "abuse-related methodologies, $7,133 awarded. 
  • 2021: Source: National Science Foundation (NSF), Title: Collaborative Research SaTC: CORE: Medium: Defending Against Social Engineering Attacks with In-Browser AI, PI: Phani Vadrevu, Total Award: $1,199,745, Award Share: $399,979. 
  • 2022: Source: National Science Foundation (NSF), Title: REU Supplement for Collaborative Research SaTC: CORE: Medium: Defending Against Social Engineering Attacks with In-Browser AI, $16,000.