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Who Evaluates the Evaluators? On Automatic Metrics for Assessing
  AI-based Offensive Code Generators

Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators

12 December 2022
Pietro Liguori
Cristina Improta
R. Natella
B. Cukic
Domenico Cotroneo
    ELM
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Papers citing "Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators"

4 / 4 papers shown
Title
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
D. Cotroneo
F. C. Grasso
R. Natella
V. Orbinato
71
0
0
10 Dec 2024
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code
  Intelligence
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
43
129
0
24 Jul 2022
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
Shellcode_IA32: A Dataset for Automatic Shellcode Generation
Shellcode_IA32: A Dataset for Automatic Shellcode Generation
Pietro Liguori
Erfan Al-Hossami
Domenico Cotroneo
R. Natella
B. Cukic
Samira Shaikh
18
27
0
27 Apr 2021
1