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Fuzzing, which is to test software with pseudo-random input and observe its execution for anomalous behavior, is an effective tool for finding real bugs and vulnerabilities within software.
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Publications(4)
UTopia: Automatic Generation of Fuzz Driver using Unit Tests
AuthorBokdeuk Jeong; Joonun Jang; Hayoon Yi; Jiin Moon; Junsik Kim; Intae Jeon; Taesoo Kim; WooChul Shim; Yong Ho Hwang
PublishedIEEE Symposium on Security and Privacy (IEEE S&P)
Date2023-05-21
Auto Off-Target: Enabling Thorough and Scalable Testing for Complex Software Systems
AuthorTomasz Kuchta, Bartosz Zator
PublishedIEEE/ACM International Conference on Automated Software Engineering (ASE)
Date2022-10-10
Constraint-guided Directed Greybox Fuzzing
AuthorGwangmu Lee, Woochul Shim, Byoungyoung Lee,
PublishedUSENIX Security Symposium (USENIX Security)
Date2020-11-20
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제5회 보안 기술 포럼 2021.8.17(화) 10:00 – 14:30 (KST) Live stream Watch Now Play Speakers Sebastian Seung Corporate President, Samsung Research Yong Ho Hwang Corporate VP, Samsung Research Ross J. Anderson Professor, University of Cambridge Mustaque Ahamad Mustaque Ahamad Professor, Georgia Institute of Technology Konstantin Beznosov Konstantin Beznosov Professor, University of British Columbia Byoungyoung Lee Byoungyoung Lee Professor, Seoul National University Schedule...
August 17(Tue.), 2021, 10:00 - 14:30 (KST) Live stream Watch Now Play Speakers Sebastian Seung Corporate President, Samsung Research Yong Ho Hwang Corporate VP, Samsung Research Ross J. Anderson Professor, University of Cambridge Mustaque Ahamad Mustaque Ahamad Professor, Georgia Institute of Technology Konstantin Beznosov Konstantin Beznosov Professor, University of British Columbia Byoungyoung Lee Byoungyoung Lee Professor, Seoul National University Schedule Q&...