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Steenhoek, Benjamin
18  Ergebnisse:
Personensuche X
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1

Dataflow Analysis-Inspired Deep Learning for Efficient Vuln..:

, In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE),
Steenhoek, Benjamin ; Gao, Hongyang ; Le, Wei - p. 177-189 , 2024
Link: https://doi.org/10.1145/..
 
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2

TRACED: Execution-Aware Pre-Training for Source Code:

, In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE),
Ding, Yangruibo ; Steenhoek, Benjamin ; Pei, Kexin... - p. 416-427 , 2024
Link: https://doi.org/10.1145/..
 
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3

Dataflow Analysis-Inspired Deep Learning for Efficient Vuln..:

, In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering,
Steenhoek, Benjamin ; Gao, Hongyang ; Le, Wei - p. 1-13 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

TRACED: Execution-aware Pre-training for Source Code:

, In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering,
Ding, Yangruibo ; Steenhoek, Benjamin ; Pei, Kexin... - p. 1-12 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

An Empirical Study of Deep Learning Models for Vulnerabilit..:

, In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE),
Steenhoek, Benjamin ; Rahman, Md Mahbubur ; Jiles, Richard. - p. 2237-2248 , 2023
Link: https://doi.org/10.1109/..
 
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6

Validating static warnings via testing code fragments:

, In: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis,
Kallingal Joshy, Ashwin ; Chen, Xueyuan ; Steenhoek, Benjamin. - p. 540-552 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

A Study of Static Warning Cascading Tools (Experience Paper:

Guo, Xiuyuan ; Joshy, Ashwin Kallingal ; Steenhoek, Benjamin..
http://arxiv.org/abs/2305.02515.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Reproducing Failures in Fault Signatures:

Joshy, Ashwin Kallingal ; Steenhoek, Benjamin ; Guo, Xiuyuan.
http://arxiv.org/abs/2309.11004.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Do Language Models Learn Semantics of Code? A Case Study in..:

Steenhoek, Benjamin ; Rahman, Md Mahbubur ; Sharmin, Shaila.
http://arxiv.org/abs/2311.04109.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Reinforcement Learning from Automatic Feedback for High-Qua..:

Steenhoek, Benjamin ; Tufano, Michele ; Sundaresan, Neel.
http://arxiv.org/abs/2310.02368.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

Dataflow Analysis-Inspired Deep Learning for Efficient Vuln..:

Steenhoek, Benjamin ; Gao, Hongyang ; Le, Wei
http://arxiv.org/abs/2212.08108.  , 2022
Link: http://arxiv.org/abs/221..
 
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12

An Empirical Study of Deep Learning Models for Vulnerabilit..:

Steenhoek, Benjamin ; Rahman, Md Mahbubur ; Jiles, Richard.
http://arxiv.org/abs/2212.08109.  , 2022
Link: http://arxiv.org/abs/221..
 
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13

Artifacts for ISSTA 2021 Paper : Validating Static Warnings..:

Kallingal Joshy, Ashwin ; Chen, Xueyuan ; Steenhoek, Benjamin.
info:eu-repo/grantAgreement/NSF/CISE/OAD/1816352/.  , 2021
Link: https://zenodo.org/recor..
 
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14

Artifacts for ISSTA 2021 Paper : Validating Static Warnings..:

Kallingal Joshy, Ashwin ; Chen, Xueyuan ; Steenhoek, Benjamin.
info:eu-repo/grantAgreement/NSF/CISE/OAD/1816352/.  , 2021
Link: https://zenodo.org/recor..
 
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15

Validating Static Warnings via Testing Code Fragments:

Joshy, Ashwin Kallingal ; Chen, Xueyuan ; Steenhoek, Benjamin.
http://arxiv.org/abs/2106.04735.  , 2021
Link: http://arxiv.org/abs/210..
 
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