Lessons Learned on Machine Learning for Computer Security-Reference-Cited by-同舟云学术

Lessons Learned on Machine Learning for Computer Security

Published:2023-09 Issue:5 Volume:21 Page:72-77
ISSN:1540-7993
Container-title:IEEE Security & Privacy
language:
Short-container-title:IEEE Secur. Privacy

Author:

Arp Daniel¹^ORCID,Quiring Erwin²^ORCID,Pendlebury Feargus³^ORCID,Warnecke Alexander⁴^ORCID,Pierazzi Fabio⁵^ORCID,Wressnegger Christian⁶^ORCID,Cavallaro Lorenzo⁷^ORCID,Rieck Konrad⁸^ORCID

Affiliation:

1. Machine Learning Department, Technische Universität Berlin, Berlin, Germany

2. International Computer Science Institute, Berkeley, CA, USA

3. University College London, London, U.K.

4. Machine Learning and Security, Technische Universität Berlin, Berlin, Germany

5. Department of Informatics, King’s College London, London, U.K.

6. Computer Science, Karlsruhe Institute of Technology, Karlsruhe, Germany

7. Computer Science, University College London, London, U.K.

8. Technische Universität Berlin, Berlin, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Law,Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/8013/10242180/10242205.pdf?arnumber=10242205

Reference10 articles.

1. Deep Learning based Vulnerability Detection: Are We There Yet

2. Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks;zhou;Proc Adv Neural Inf Process Syst,0

3. Evaluating Explanation Methods for Deep Learning in Security

4. Are Machine Learning Models for Malware Detection Ready for Prime Time?

5. Leakage and the reproducibility crisis in ML-based science;kapoor,2022

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1. A systematic literature review on Windows malware detection: Techniques, research issues, and future directions;Journal of Systems and Software;2024-03

2. Machine Learning-Based Security Evaluation and Overhead Analysis of Logic Locking;Journal of Hardware and Systems Security;2024-01-22

3. Evaluating Word Embedding Feature Extraction Techniques for Host-Based Intrusion Detection Systems;Discover Data;2023-03-30

4. A methodology to identify identical single-board computers based on hardware behavior fingerprinting;Journal of Network and Computer Applications;2023-03