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Using Deep Learning to Solve Computer Security Challenges: A Survey

Using Deep Learning to Solve Computer Security Challenges: A Survey

12 December 2019
Yoon-Ho Choi
Peng Liu
Zitong Shang
Haizhou Wang
Zhilong Wang
Lan Zhang
Junwei Zhou
Qingtian Zou
    AAML
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Papers citing "Using Deep Learning to Solve Computer Security Challenges: A Survey"

4 / 4 papers shown
Title
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion
  Detection
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
Mahdi Soltani
Khashayar Khajavi
M. J. Siavoshani
A. Jahangir
20
7
0
05 Mar 2023
Which Features are Learned by CodeBert: An Empirical Study of the
  BERT-based Source Code Representation Learning
Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning
Lan Zhang
Chen Cao
Zhilong Wang
Peng Liu
SSL
14
3
0
20 Jan 2023
Semantic-aware Binary Code Representation with BERT
Semantic-aware Binary Code Representation with BERT
Hyungjoon Koo
Soyeon Park
Daejin Choi
Taesoo Kim
25
23
0
10 Jun 2021
Tackling Imbalanced Data in Cybersecurity with Transfer Learning: A Case
  with ROP Payload Detection
Tackling Imbalanced Data in Cybersecurity with Transfer Learning: A Case with ROP Payload Detection
Haizhou Wang
Peng Liu
11
11
0
06 May 2021
1