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Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler

Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler

IEEE Working Conference on Mining Software Repositories (MSR), 2020
3 April 2020
T. Bryksin
V. Petukhov
Ilya Alexin
Stanislav Prikhodko
A. Shpilman
V. Kovalenko
Nikita Povarov
ArXiv (abs)PDFHTML

Papers citing "Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler"

2 / 2 papers shown
Multi-target Backdoor Attacks for Code Pre-trained Models
Multi-target Backdoor Attacks for Code Pre-trained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yanzhou Li
Shangqing Liu
Kangjie Chen
Xiaofei Xie
Tianwei Zhang
Yang Liu
AAMLSILM
217
32
0
14 Jun 2023
Backdoors in Neural Models of Source Code
Backdoors in Neural Models of Source CodeInternational Conference on Pattern Recognition (ICPR), 2020
Goutham Ramakrishnan
Aws Albarghouthi
AAMLSILM
272
70
0
11 Jun 2020
1
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