activity
20202025
most citedsFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts

43 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation

Tai D. Nguyen, Long H. Pham, Jun Sun

The rapid advancement of domain-specific large language models (LLMs) in fields like law necessitates frameworks that account for nuanced regional legal distinctions, which are cri…

cs.HC2024

PrettiSmart: Visual Interpretation of Smart Contracts via Simulation

Xiaolin Wen, Tai D. Nguyen, Lun Zhang +2

Smart contracts are the fundamental components of blockchain technology. They are programs to determine cryptocurrency transactions, and are irreversible once deployed, making it c…

cs.HC2024

PonziLens+: Visualizing Bytecode Actions for Smart Ponzi Scheme Identification

Xiaolin Wen, Tai D. Nguyen, Shaolun Ruan +4

With the prevalence of smart contracts, smart Ponzi schemes have become a common fraud on blockchain and have caused significant financial loss to cryptocurrency investors in the p…

cs.LG2024

UniAdapt: A Universal Adapter for Knowledge Calibration

Tai D. Nguyen, Long H. Pham, Jun Sun

Large Language Models (LLMs) require frequent updates to correct errors and keep pace with continuously evolving knowledge in a timely and effective manner. Recent research in it m…

cs.CR20217 cited

sGUARD: Towards Fixing Vulnerable Smart Contracts Automatically

Tai D. Nguyen, Long H. Pham, Jun Sun

Smart contracts are distributed, self-enforcing programs executing on top of blockchain networks. They have the potential to revolutionize many industries such as financial institu…

cs.SE202043 cited

sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts

Tai D. Nguyen, Long H. Pham, Jun Sun +2

Smart contracts are Turing-complete programs that execute on the infrastructure of the blockchain, which often manage valuable digital assets. Solidity is one of the most popular p…