research
∙
10/27/2022
Comparing One with Many – Solving Binary2source Function Matching Under Function Inlining
Binary2source function matching is a fundamental task for many security ...
share
research
∙
10/17/2022
Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting
Analyzing both temporal and spatial patterns for an accurate forecasting...
research
∙
11/24/2021
Machine Learning Guided Cross-Contract Fuzzing
Smart contract transactions are increasingly interleaved by cross-contra...
research
∙
06/17/2021
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks
With the development of the 5G and Internet of Things, amounts of wirele...
research
∙
07/31/2020
MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs
Grey-box fuzz testing has revealed thousands of vulnerabilities in real-...
research
∙
12/10/2019
Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules
With the prosperity of smart contracts and the blockchain technology, va...
research
∙
09/14/2019
Oracle-Supported Dynamic Exploit Generation for Smart Contracts
Despite the high stakes involved in smart contracts, they are often deve...
research
∙
12/17/2018
