Zobrazeno 1 - 10 of 2 495 pro vyhledávání: '"Rashid, Md."'
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Report
SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
Autor: Saiem, Bijoy Ahmed, Shanto, MD Sadik Hossain, Ahsan, Rakib, Rashid, Md Rafi ur
As the integration of the Large Language Models (LLMs) into various applications increases, so does their susceptibility to misuse, raising significant security concerns. Numerous jailbreak attacks have been proposed to assess the security defense of
Externí odkaz: http://arxiv.org/abs/2411.06426
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2
Report
Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules
Autor: Rahman, Md Abdur, Barek, Md Abdul, Riad, ABM Kamrul Islam, Rahman, Md Mostafizur, Rashid, Md Bajlur, Ambedkar, Smita, Miaa, Md Raihan, Wu, Fan, Cuzzocrea, Alfredo, Ahamed, Sheikh Iqbal
Although software developers of mHealth apps are responsible for protecting patient data and adhering to strict privacy and security requirements, many of them lack awareness of HIPAA regulations and struggle to distinguish between HIPAA rules catego
Externí odkaz: http://arxiv.org/abs/2410.20664
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3
Report
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Autor: Rashid, Md Rafi Ur, Liu, Jing, Koike-Akino, Toshiaki, Mehnaz, Shagufta, Wang, Ye
Fine-tuning large language models on private data for downstream applications poses significant privacy risks in potentially exposing sensitive information. Several popular community platforms now offer convenient distribution of a large variety of p
Externí odkaz: http://arxiv.org/abs/2408.17354
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4
Report
Bi3+ Doped Nanocrystalline Ni-Co-Zn Spinel Ferrites: Tuning of Physical, Electrical, Dielectric and Magnetic Properties for Advanced Spintronics Applications
Autor: Rahman, Md. Mahfuzur, Hasan, Nazmul, Tabassum, Sumaiya, Harun-Or-Rashid, M., Rashid, Md. Harunur, Arifuzzaman, Md.
This study reports the synthesis and characterization of nanocrystalline Ni0.5Co0.2Zn0.3BixFe2-xO4 x varis by 0.0, 0.025, 0.050, 0.075, 0.100 ferrites synthesized via the sol-gel auto combustion method.The low coercivity values 23.68 to 87.71 Oe are
Externí odkaz: http://arxiv.org/abs/2408.11260
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7
Report
Reliability of in-band and broadband spectral index measurement: systematic study of the effect of signal to noise for uGMRT data
Autor: Rashid, Md, Roy, Nirupam, Pandian, J. D., Dutta, Prasun, Dokara, R., Vig, S., Menten, K. M.
Low radio frequency spectral index measurements are a powerful tool to distinguish between different emission mechanisms and, in turn, to understand the nature of the sources. Besides the standard method of estimating the ``broadband" spectral index
Externí odkaz: http://arxiv.org/abs/2405.18978
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8
Report
Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models
Autor: Gu, Kang, Rashid, Md Rafi Ur, Sultana, Najrin, Mehnaz, Shagufta
With the rapid development of Large Language Models (LLMs), we have witnessed intense competition among the major LLM products like ChatGPT, LLaMa, and Gemini. However, various issues (e.g. privacy leakage and copyright violation) of the training cor
Externí odkaz: http://arxiv.org/abs/2403.10557
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9
Report
Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment
Autor: Brotee, Shamyo, Kabir, Farhan, Razzaque, Md. Abdur, Roy, Palash, Mamun-Or-Rashid, Md., Hassan, Md. Rafiul, Hassan, Mohammad Mehedi
One of the most critical applications undertaken by coalitions of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following the most time-efficient routes while avoiding collisions. Unfortunately,
Externí odkaz: http://arxiv.org/abs/2401.01481
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10
Report
Prediction of Crash Injury Severity in Florida's Interstate-95
Autor: Anik, B M Tazbiul Hassan, Rashid, Md Mobasshir, Ahsan, Md Jamil
Drivers can sustain serious injuries in traffic accidents. In this study, traffic crashes on Florida's Interstate-95 from 2016 to 2021 were gathered, and several classification methods were used to estimate the severity of driver injuries. In the fea
Externí odkaz: http://arxiv.org/abs/2312.12459
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