NEZHA: Efficient Domain-Independent Differential Testing

Article Details
Title:	NEZHA: Efficient Domain-Independent Differential Testing
Article URLs:	https://doi.org/10.1109/SP.2017.27 http://doi.ieeecomputersociety.org/10.1109/SP.2017.27
Alternative Article URLs:
Authors:	Theofilos Petsios	Columbia University, Department of Computer Science
	Adrian Tang	Columbia University, Department of Computer Science
	Salvatore J. Stolfo	Columbia University, Department of Computer Science
	Angelos D. Keromytis	Columbia University, Department of Computer Science
	Suman Jana	Columbia University, Department of Computer Science
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review. awarded
Artifact URLs:	https://github.com/nezha-dt
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1318415, 1617670
DBLP Key:	conf/sp/PetsiosTSKJ17
Author Comments:

IEEE Security and Privacy, S&P 2017