What is it about?
HyDiff proposes the a hybrid framework for differential program analysis using grey- and whitebox fuzzing. It can applied in various domains like regression testing, side-channel analysis and robustness analysis of neural networks.
Featured Image
Photo by Markus Spiske on Unsplash
Why is it important?
HyDiff is the first hybrid approach for differential program analysis. By combining greybox fuzzing with whitebox fuzzing it can overcome the limitation by each single technique and produce even better results.
Perspectives
With its broad applicability HyDiff represents a general framework in the area of differential testing.
Yannic Noller
National University of Singapore
Read the Original
This page is a summary of: HyDiff, June 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3377811.3380363.
You can read the full text:
Resources
Contributors
The following have contributed to this page
