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20242026
most citedHarnessing the Power of LLMs in Source Code Vulnerability Detection

1 citations · 1 across the 10 of their papers we have counts for

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cs.CV2024

Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images

Kyle Stein, Andrew Arash Mahyari, Guillermo Francia +1

Backdoor attacks pose a critical threat by embedding hidden triggers into inputs, causing models to misclassify them into target labels. While extensive research has focused on mit…

cs.CY2024

Toward a Real-Time Digital Twin Framework for Infection Mitigation During Air Travel

Ashok Srinivasan, Satkkeerthi Sriram, Sirish Namilae +1

Pedestrian dynamics simulates the fine-scaled trajectories of individuals in a crowd. It has been used to suggest public health interventions to reduce infection risk in important…

cs.CR2024

Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach

Kyle Stein, Andrew A. Mahyari, Guillermo Francia +1

As the complexity and connectivity of networks increase, the need for novel malware detection approaches becomes imperative. Traditional security defenses are becoming less effecti…

cs.CR2024

Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples

Kyle Stein, Arash Mahyari, Guillermo Francia +1

As networks continue to expand and become more interconnected, the need for novel malware detection methods becomes more pronounced. Traditional security measures are increasingly…

cs.SE2024★ 1 cited

Harnessing the Power of LLMs in Source Code Vulnerability Detection

Andrew A Mahyari

Software vulnerabilities, caused by unintentional flaws in source code, are a primary root cause of cyberattacks. Static analysis of source code has been widely used to detect thes…