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pro vyhledávání: '"Rahman, MD Mahbubur"'
Autor:
Steenhoek, Benjamin, Rahman, Md Mahbubur, Roy, Monoshi Kumar, Alam, Mirza Sanjida, Barr, Earl T., Le, Wei
Large Language Models (LLMs) have demonstrated great potential for code generation and other software engineering tasks. Vulnerability detection is of crucial importance to maintaining the security, integrity, and trustworthiness of software systems.
Externí odkaz:
http://arxiv.org/abs/2403.17218
Autor:
Kamal, Mahedi, Fariha, Tasnim, Zinia, Afrina Kabir, Syed, Md. Abu, Khan, Fahim Hasan, Rahman, Md. Mahbubur
Recent breakthroughs in artificial intelligence offer tremendous promise for the development of self-driving applications. Deep Neural Networks, in particular, are being utilized to support the operation of semi-autonomous cars through object identif
Externí odkaz:
http://arxiv.org/abs/2401.11358
Recently, pretrained language models have shown state-of-the-art performance on the vulnerability detection task. These models are pretrained on a large corpus of source code, then fine-tuned on a smaller supervised vulnerability dataset. Due to the
Externí odkaz:
http://arxiv.org/abs/2311.04109
Deep learning vulnerability detection has shown promising results in recent years. However, an important challenge that still blocks it from being very useful in practice is that the model is not robust under perturbation and it cannot generalize wel
Externí odkaz:
http://arxiv.org/abs/2310.07958
Autor:
Rahman, Md Mahbubur, Shova, Shaila
Over the last few years, social media has evolved into a medium for expressing personal views, emotions, and even business and political proposals, recommendations, and advertisements. We address the topic of identifying emotions from text data obtai
Externí odkaz:
http://arxiv.org/abs/2302.05610
In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount of people working behind this rapid development is rising tremendously.
Externí odkaz:
http://arxiv.org/abs/2302.05602
Deep learning (DL) models of code have recently reported great progress for vulnerability detection. In some cases, DL-based models have outperformed static analysis tools. Although many great models have been proposed, we do not yet have a good unde
Externí odkaz:
http://arxiv.org/abs/2212.08109
Publikováno v:
In Biomedicine & Pharmacotherapy September 2024 178
Autor:
Chen, Cheng, Asiam, Francis Kwaku, Kaliamurthy, Ashok Kumar, Manikandan, Palinci Nagarajan, Rahman, Md. Mahbubur, Ryu, Junyeong, Kang, Hyeong Cheol, Yoo, Kicheon, Lee, Jae-Joon
Publikováno v:
In Surfaces and Interfaces September 2024 52
Autor:
Foysal, Md Javed, Kawser, A Q M Robiul, Paul, Sulav Indra, Chaklader, Md Reaz, Gupta, Sanjay Kumar, Tay, Alfred, Neilan, Brett A., Gagnon, Marthe Monique, Fotedar, Ravi, Rahman, Md Mahbubur, Timms, Verlaine J.
Publikováno v:
In Journal of Hazardous Materials 5 August 2024 474