Thang Hoang

Thang Hoang

Assistant Professor

About

I am an Assistant Professor in the department of Computer Science at Virginia Tech and a CCI Research Fellow. Prior to joining VT, I was a Postdoctoral Fellow hosted by Prof. Elaine Shi at Carnegie Mellon University (CMU), and a Research Associate hosted by Prof. Attila A. Yavuz at the University of South Florida (USF). 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.

Interests

  • Applied Cryptograhy
  • Security and Privacy
  • Fuzzy Cryptography

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

Opening PhD positions

I am continuously looking for motivated PhD students to work in the fields of cybersecurity and applied cryptography at VT. Please read this detailed description and send your application package to thanghoang(at)vt(dot)edu if interested.

Recent News

May 01, 2023
Paper on oblivious encrypted search conditionally accepted to PETS 2023.4.
Apr 25, 2023
Paper on privacy-enhanced blockchain accepted to ICCCN 2023.
Mar 02, 2023
Got a seed grant from 4-VA for pre-tenure faculty. Thanks for your generous support!
Mar 01, 2023
Invited to serve on PC of PETS 2024, ACSAC 2023, and IEEE MASS 2023. Also, invited to participate in SaTC Vision 2.0 Workshop.
Nov 29, 2022
Paper on cancellable biometric accepted to IEEE TIFS. Paper on zero-knowledge machine learning finally accepted to PETS 2023.2.

Publication

VTBC: Privatizing the Volume and Timing of Transactions for Blockchain Applications

International Conference on Computer Communications and Networks (ICCCN) 2023

MAPLE: A Metadata-Hiding Policy-Controllable Encrypted Search Platform with Minimal Trust

Privacy Enhancing Technologies Symposium (PETS) 2023

ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline

Privacy Enhancing Technologies Symposium (PETS) 2023

PDF Code

Efficient Dynamic Proof of Retrievability for Cold Storage

Annual Network and Distributed System Security Symposium (NDSS) 2023

PDF Code Slides

AVET: A Novel Transform Function to Improve Cancellable Biometrics Security

IEEE Transactions on Information Forensics and Security  2022

PDF

Distributed Cyber-infrastructures and Artificial Intelligence in Hybrid Post-Quantum Era

IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (IEEE TPS) 2022

PDF

Harpocrates: Privacy-Preserving and Immutable Audit Log for Sensitive Data Operations

IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (IEEE TPS) 2022

PDF

ZAC: Efficient Zero-Knowledge Dynamic Universal Accumulator and Application to Zero-Knowledge Elementary Database

IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (IEEE TPS) 2022

PDF

Polynomial Commitment with a One-to-Many Prover and Applications

USENIX Security Symposium (USENIX Security) 2022

PDF Code Slides

A Metadata-Hiding File-Sharing System with Malicious Security

Annual Network and Distributed System Security Symposium (NDSS) 2022

PDF DOI

*underlined indicates my current/former advisees at the time of initial/completion of the project.

Experience

 
 
 
 
 
Postdoctoral Scholar
08.20 – 12.20
Carnegie Mellon University
Pittsburg, PA
 
 
 
 
 
Research Assistant
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

Past courses
  • CS 4104: Data and Algorithm Analysis (Fall 2022)
  • CS 4274: Secure Computing Capstone (Spring 2022)
  • CS 5594: Blockchain Technologies (Spring 2021)

Group

I am fortunate to work with the following talented students

PhD students
  • Tung Le (F21)
  • Arman Riasi (F22)
  • Hoang Dung Nguyen (S23)
MS students
  • Matthew Harrington (F21, co-advise w/ Jin-Hee Cho)
  • Jacob Haltiwanger (F22)
Visiting students
  • Haodi Wang (S21, PhD student, Beijing Normal University)
Undergraduate
  • Jan Michalak
  • Atharva Haldankar
  • Bobby Alvarez

Alumni

  • 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
    Current Position: Software Engineer @ Robinhood
    I am involved with the following events

    2024

    Program Committee

    2023

    Organzing Committee
    IEEE S&P (Short-Talks Chair)
    Program Committee
    PETS, IEEE MASS (S&P track), ACSAC

    Contact