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VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery
by
Seulbae Kim
,
Seunghoon Woo
,
Heejo Lee
,
Hakjoo Oh
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Riding the IoT Wave With VFuzz: Discovering Security Flaws in Smart Homes
by
Nkuba, Carlos Kayembe
,
Kim, Seulbae
,
Dietrich, Sven
,
Lee, Heejo
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IEEE access
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Software systems at risk: An empirical study of cloned vulnerabilities in practice
by
Kim, Seulbae
,
Lee, Heejo
Published in
Computers & security
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CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse
by
Woo, Seunghoon
,
Park, Sunghan
,
Kim, Seulbae
,
Lee, Heejo
,
Oh, Hakjoo
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Finding Bugs in File Systems with an Extensible Fuzzing Framework
by
Kim, Seulbae
,
Xu, Meng
,
Kashyap, Sanidhya
,
Yoon, Jungyeon
,
Xu, Wen
,
Kim, Taesoo
Published in
ACM transactions on storage
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DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing
by
Kim, Seulbae
,
Liu, Major
,
Junghwan "John" Rhee
,
Jeon, Yuseok
,
Kwon, Yonghwi
,
Kim, Chung Hwan
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arXiv.org
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CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse
by
Woo, Seunghoon
,
Park, Sunghan
,
Kim, Seulbae
,
Lee, Heejo
,
Oh, Hakjoo
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arXiv.org
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