Phani Vadrevu

Assistant Professor

Contact

kvadrevu@lsu.edu
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

Phani Vadrevu

Visit Website

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.