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Thang Hoang Past courses
About
I am an Assistant Professor in the department of Computer Science @ Virginia Tech and a CCI Researcher. Prior to joining VT, I was a Postdoctoral Fellow @ Carnegie Mellon University (CMU) hosted by Prof. Elaine Shi and a Research Associate @ University of South Florida (USF) hosted by Prof. Attila A. Yavuz. I received my PhD degree from USF in August 2020.
My research spans the domains of cybersecurity and applied cryptography. I am interested in privacy, secure and verifiable computation, zero-knowledge proof, fuzzy cryptography, and trustworthy machine learning.
I will be on PC of ACM CCS 2026, IEEE S&P 2026, ACISP 2026.
Interests
- Applied Cryptograhy
- Security and Privacy
- Biometrics
Education
PhD in Computer Science, 2020
University of South Florida
MS in Computer Science, 2014
Chonnam National University
BS in Computer Science, 2010
University of Science, VNU-HCMC
Recent News
Dec 19, 2025
Paper on federated learning with differential privacy received the Best Paper Award at
WITS 2025. Congrats Arman and team (victorious moments )!
Aug 20, 2025
Paper on zero-knowledge machine learning accepted to
ACM CCS 2025. Congrats Arman!
Mar 10, 2025
Two papers accepted to
IEEE S&P 2025: one on encrypted search and one on certificate revocation. Congratulations to Tung and, especially, Munshi for his first lead author paper!
Feb 24, 2025
Paper on private information retrieval accepted to
PETS 2025. Congratulations to Hoang-Dung for his first lead author paper!
Oct 15, 2024
Congratulations to Arman for getting the 2024 ACSAC Student Conferenceship Award!
Aug 20, 2024
Two papers accepted to
ACSAC 2024: one on verifiable and privacy preserving machine learning and one (conditionally) on secure aggregation in federated learning (Updated 09/16/24: status changed to accepted). Congrats Arman for his first lead author paper!
Jul 15, 2024
Got an
NSF SaTC CORE MEDIUM Grant for the project on distributed network security. Thanks for your support!
Jun 25, 2024
Paper on attacking heterogeneous federated learning conditionally accepted to
RAID 2024. This work is part of Atharva’s MS thesis, which he just successfully defended. Congrats Atharva! (Updated 07/16/24: status changed to accepted)
25
WITS
Trustworthy Federated Learning with Local Differential Privacy
Rouzbeh Behnia, Jeremiah Birrell, Arman Riasi, Reza Ebrahimi, Kaushik Dutta, Thang Hoang
Workshop on Information Technologies and Systems 2025
*Best Paper Award*
Workshop on Information Technologies and Systems 2025
*Best Paper Award*
CNS
Secret-Key Agreement Through Hidden Markov Modeling of Wavelet Scattering Embeddings
Nora Basha, Bechir Hamdaoui, Attila A. Yavuz, Thang Hoang, Mehran Mozaffari Kermani
IEEE Conference on Communications and Network Security 2025
IEEE Conference on Communications and Network Security 2025
19
17
For a full list of publications, including older ones, click here.
Experience
Postdoctoral Scholar
08.20 –
12.20
Carnegie Mellon University
Pittsburg, PA
Research Assistant & Associate
01.19 –
12.20
University of South Florida
Tampa, FL
Security Research Intern
06.16 –
08.16 ||
06.18 –
08.18
Robert Bosch RTC
Pittsburgh, PA
Graduate Research Assistant
09.15 –
12.18
Oregon State University
Corvallis, OR
Lecturer
09.14 –
08.15
Saigon Technology University
Saigon, Vietnam
Research Scientist
03.14 –
09.14
RedOne Technologies
Gwangju, S. Korea
Teaching
I am teaching the following course at VT
- CS 6204: Advanced Topics in Systems (Spring 2025)
- CS 5594: Blockchain Technologies (Spring 2021, Spring 2023, Spring 2024)
- CS 4104: Data and Algorithm Analysis (Fall 2022, Fall 2023, Fall 2024)
- CS 4274: Secure Computing Capstone (Spring 2022)
Group
I am fortunate to work with the following talented students
PhD students
- Tung Le | Fall 2021 - current
- Arman Riasi | Fall 2022 - current
- Hoang Dung Nguyen | Spring 2023 - current
- Changqi Sun | Fall 2023 - current
- Munshi Ala Muid | Fall 2023 - current | co-advise w/ Tijay Chung
Visiting students
- Haodi Wang | Spring 2021 - Spring 2024 (now Postdoc @ CUHK)
Alumni
- Atharva Haldankar, MS (2024)Thesis: Breaking Privacy in Model-Heterogeneous Federated Learning(now Software Engineer @ Capital One)
- Jacob Haltiwanger, MS (2024)Thesis: Exploiting Update Leakage in Searchable Symmetric Encryption(now confidential position in Federal)
- Trevor Miller, MS (2023)Thesis: Privatizing the Volume and Timing of Transactions for Blockchain Applications
- Mohit Bhasi, MS (2022)Thesis: Privacy-Preserving and Immutable Audit Log for Sensitive Data Operations(now Software Engineer @ Robinhood)
Services
I am involved with the following events
2026
Program Committee
2025
Program Committee
Contact
- thanghoang(at)vt(dot)edu
- 540-231-+x+t
- Gilbert Place, Room 4304, 220 Gilbert Street, Blacksburg, VA 24060