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Is Your AI-Generated Code Really Safe? Evaluating Large Language Models
  on Secure Code Generation with CodeSecEval

Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval

2 July 2024
Jiexin Wang
Xitong Luo
Liuwen Cao
Hongkui He
Hailin Huang
Jiayuan Xie
Adam Jatowt
Yi Cai
    ELM
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Papers citing "Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval"

3 / 3 papers shown
Title
When LLMs Meet Cybersecurity: A Systematic Literature Review
When LLMs Meet Cybersecurity: A Systematic Literature Review
Jie Zhang
Haoyu Bu
Hui Wen
Yu Chen
Lun Li
Hongsong Zhu
24
36
0
06 May 2024
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
199
1,451
0
02 Sep 2021
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
D. Song
Jacob Steinhardt
ELM
AIMat
ALM
189
614
0
20 May 2021
1