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