Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT (Secure Software '24 - 4th International Workshop on Software Security: Challenges, Opportunities, and Lessons Learned) - EASE 2024

Tue 18 - Fri 21 June 2024 Salerno, Italy

Who

Triet Le, Muhammad Ali Babar, Tung Thai

Track

Secure Software '24 secure-software-

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When

Fri 21 Jun 2024 10:00 - 10:15 at Room Vietri - Secure Software Workshop: Session 1

Triet Le

The University of Adelaide

Australia

Muhammad Ali Babar

School of Computer Science, The University of Adelaide

Australia

Tung Thai

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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Time Band

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Session Program

Fri 21 Jun
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	09:00 - 10:30	Secure Software Workshop: Session 1Secure Software at Room Vietri

	09:00 30m Keynote		Keynote: Adaptive Security Architecture for Federated Data & Digital Ecosystems Secure Software K: Asif Gill University of Technology Sydney
	09:30 15m Talk		An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models Secure Software Jameleddine Hassine
	09:45 15m Talk		Securing Agile: Assessing the Impact of Security Activities on Agile Development Secure Software Arpit Thool Virginia Tech, USA, Chris Brown Virginia Tech
	10:00 15m Talk		Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT Secure Software Triet Le The University of Adelaide, Muhammad Ali Babar School of Computer Science, The University of Adelaide, Tung Thai
	10:15 15m Talk		Study for Integrating IoT-IDS Datasets: Machine and Deep Learning for Secure IoT Network System Secure Software Shalli Rani , Ankita Sharma , Muhammad Zohaib Iqbal Quest Lab