
Research Assistant
Louisiana State Univeristy
hngu281 [at] lsu.edu
GitHub
I'm a CS PhD student at Louisiana State Univeristy where I work with Prof. Phani Vadrevu. My research focuses on practical, hands-on security, with an emphasis on web security and privacy. I have worked extensively on a range of topics, including social engineering attacks, browser fingerprinting, bot attacks, and bot detection techniques. I build and deploy scalable systems to measure and analyze real-world threats, uncover vulnerabilities, and design effective defense strategies.
News
Jan 2025 | Paper on Attacks Against Canvas Fingerprinting Defenses accepted at WWW 2025. |
May 2024 | Awarded IEEE S&P 2024 Travel Grant. |
Mar 2024 | Paper on in-the-wild Captcha Attacks accepted at IEEE S&P 2024. |
Dec 2023 | Paper on Cryptocurrency Scams was accepted at IEEE S&P 2024. |
Oct 2023 | Awarded ACM IMC 2023 Travel Grant. |
Sep 2022 | Paper on Web Audio Fingerprinting was accepted to ACM IMC 2022. |
Jan 2021 | Awarded Tolmas Scholars 2021 at The University of New Orleans. |
Publications
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Link Not Available Yet Breaking the Shield: Analyzing and Attacking Canvas Fingerprinting Defenses in the Wild
Hoang Dai Nguyen, Phani Vadrevu
Proceedings of the ACM World Wide Web Conference (WWW)
Sydney, Australia, 2025
To Appear Soon -
C-FRAME: Characterizing and Measuring in-the-wild CAPTCHA Attacks
Hoang Dai Nguyen, Karthika Subramani, Bhupendra Acharya, Roberto Perdisci, Phani Vadrevu
Proceedings of the 45th IEEE Symposium on Security and Privacy (IEEE S&P)
San Francisco, USA, 2024 -
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz
Proceedings of the 45th IEEE Symposium on Security and Privacy (IEEE S&P)
San Francisco, USA, 2024 -
Your Speaker or My Snooper? Measuring the Effectiveness of Web Audio Browser Fingerprints
Shekhar Chalise, Hoang Dai Nguyen, Phani Vadrevu
Proceedings of the 22nd ACM Internet Measurement Conference (IMC)
Nice, France, 2022
2025
2024
2022
Posters
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Prediction of Intrinsically Disordered Protein Regions using Machine Learning Methods
Hoang Dai Nguyen, Md Wasi Ul Kabir, Md Tamjidul Hoque
InnovateUNO 2021
New Orleans, USA, 2021 -
Machine Learning-based Effective Prediction of Protein Disordered Regions
Md Wasi Ul Kabir, Hoang Dai Nguyen, Md Tamjidul Hoque
8th Annual Louisiana Biomedical Research Network Conference on Computational Biology and Bioinformatics
Louisiana, USA, 2021
2021
Program Committee Service
- Reviewer, The Web Conference (WWW) 2025
- Artifact Evaluation Committee, USENIX Security Symposium 2024
- Reviewer, ACM Conference on Data and Applications Security (CODASPY) 2024
- Artifact Evaluation Committee, Annual Computer Security Applications Conference (ACSAC) 2023