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VulCatch: Enhancing Binary Vulnerability Detection through CodeT5
  Decompilation and KAN Advanced Feature Extraction

VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction

13 August 2024
Abdulrahman Hamman Adama Chukkol
Senlin Luo
Kashif Sharif
Yunusa Haruna
Muhammad Muhammad Abdullahi
ArXivPDFHTML

Papers citing "VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction"

4 / 4 papers shown
Title
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Hamed Jelodar
Samita Bai
Parisa Hamedi
Hesamodin Mohammadian
R. Razavi-Far
Ali Ghorbani
34
0
0
07 Apr 2025
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
235
1,489
0
02 Sep 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
239
31,257
0
16 Jan 2013
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