research
∙
09/06/2023
Demystifying RCE Vulnerabilities in LLM-Integrated Apps
In recent years, Large Language Models (LLMs) have demonstrated remarkab...
share
research
∙
05/29/2023
ACETest: Automated Constraint Extraction for Testing Deep Learning Operators
Deep learning (DL) applications are prevalent nowadays as they can help ...
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
∙
03/21/2020
An Empirical Study on Benchmarks of Artificial Software Vulnerabilities
Recently, various techniques (e.g., fuzzing) have been developed for vul...
research
∙
01/31/2019
