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Andrew Arash Mahyari

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2024
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  - conf/bigdataconf/BlackthornMS24
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Nathan Blackthorn, Andrew Arash Mahyari, Ashok Srinivasan:
Training Variational Autoencoders for Population Synthesis in Public Health with Missing Data. IEEE Big Data 2024: 4969-4973
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Andrew Arash Mahyari:
Harnessing the Power of LLMs in Source Code Vulnerability Detection. MILCOM 2024: 251-256
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Kyle Stein, Andrew Arash Mahyari, Guillermo A. Francia III, Eman El-Sheikh:
Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach. MILCOM 2024: 847-852
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  - journals/corr/abs-2408-03489
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Andrew Arash Mahyari:
Harnessing the Power of LLMs in Source Code Vulnerability Detection. CoRR abs/2408.03489 (2024)
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  - journals/corr/abs-2409-11254
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Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh:
Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach. CoRR abs/2409.11254 (2024)
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  - journals/corr/abs-2410-14018
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Ashok Srinivasan, Satkkeerthi Sriram, Sirish Namilae, Andrew Arash Mahyari:
Toward a Real-Time Digital Twin Framework for Infection Mitigation During Air Travel. CoRR abs/2410.14018 (2024)
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  - journals/corr/abs-2412-08755
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Kyle Stein, Andrew Arash Mahyari, Guillermo A. Francia III, Eman El-Sheikh:
Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images. CoRR abs/2412.08755 (2024)

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