GLEAM: GAN and LLM for Evasive Adversarial Malware-Reference-Cited by-同舟云学术

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GLEAM: GAN and LLM for Evasive Adversarial Malware

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Information and Communication Technology Convergence (ICTC)
language:
Short-container-title:

Author:

Devadiga Dharani¹,Jin Gordon²,Potdar Bisti³,Koo Hankyu⁴,Han Andrew⁵,Shringi Anusha⁶,Singh Angad⁷,Chaudhari Kinjal⁸,Kumar Saurav⁸

Affiliation:

1. Green Level High School,Cary,North Carolina

2. Seven Lakes High School,Katy,Texas

3. Vernon Hills High School,Vernon Hills,Illinois

4. Bellarmine College Prep.,Cupertino,California

5. Westlake High School,Austin,Texas

6. Lynbrook High School,San Jose,California

7. Robbinsville High School,Robbinsville,New Jersey

8. University of Illinois Urbana-Champaign,Champaign,Illinois

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391854/10391860/10393706.pdf?arnumber=10393706

Reference25 articles.

1. Cybersecurity Threats and Their Mitigation Approaches Using Machine Learning—A Review

2. Evaluation of Machine Learning Algorithms for Malware Detection

3. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

4. EntropLyzer: Android Malware Classification and Characterization Using Entropy Analysis of Dynamic Characteristics;Keyes,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey of large language models for cyber threat detection;Computers & Security;2024-10

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