About me
Welcome to my profile!
Hello, Iβm Kieu Dang
π PhD Student in Cybersecurity with a focus on LLMs.
π« State University of New York at Albany (SUNY Albany)
π New York, USA
π¬ Research Interests:
- Trustworthy Machine Learning and AI
- Privacy-Preserving Machine Learning
- Adversarial Robustness and Watermarking
Education
π PhD Student in Cybersecurity, State University of New York at Albany, USA (Aug 2024 β Present)
- Cumulative GPA: 4.00/4.00.
- Research Focus: Trustworthy Machine Learning and AI through the lens of Privacy and Security.
π Master in Analytics, Applied Machine Intelligence, Northeastern University, USA (Aug 2021 β Jul 2023)
- Valedictorian of Fall 2021 cohort.
- Cumulative GPA: 4.00/4.00.
- Thesis: Improving Safety through the Integration of Multi-sensor Fusion and Deep Learning-based Object Detection.
Research Overview
My research explores the intersection of Trustworthy AI and Privacy-Preserving Technologies, aiming to develop mechanisms that enhance the security, privacy, and robustness of large language models. I collaborate with industry and academic partners to deploy and evaluate adversarial robustness, watermarking techniques, and privacy-preserving frameworks in real-world AI systems.
Recent Updates
π 11/2025: Our proposal βScalable Watermarking for LLM Outputs: IP Protection and Attribution on AIU Spyreβ was selected as a 2025 CEAIS Seed Grant awardee (IBM Center for Emerging Artificial Intelligence Systems).
π 10/2025: My watermark patent is accepted on October 8, 2025.
π 09/2025: I am happy to share that my research paper \delta-STEAL: LLM Stealing Attack with Local Differential Privacy has been accepted at ACML 2025.
π Summer 2025: Mentoring 6 undergraduate students on LLM Watermarking at SUNY Albany.
π 04/2025: Received Second Prize for Best Poster at NTIR 2025.
Quick Links
π¬ Research
π Academic Experience
πΌ Professional Experience
π οΈ Practical Projects
π Blog
π CV
Contact
π§ vdang@albany.edu
π° Medium
π§βπ» GitHub
π Google Scholar
Thank you!