Zobrazeno 1 - 10
of 261
pro vyhledávání: '"Alsmadi, Izzat"'
The integration of large language models into public transit systems represents a significant advancement in urban transportation management and passenger experience. This study examines the impact of LLMs within San Antonio's public transit system,
Externí odkaz:
http://arxiv.org/abs/2407.11003
Large language models (LLMs) have revolutionized how we interact with machines. However, this technological advancement has been paralleled by the emergence of "Mallas," malicious services operating underground that exploit LLMs for nefarious purpose
Externí odkaz:
http://arxiv.org/abs/2406.00628
The wealth of information available through the Internet and social media is unprecedented. Within computing fields, websites such as Stack Overflow are considered important sources for users seeking solutions to their computing and programming issue
Externí odkaz:
http://arxiv.org/abs/2404.14449
Autor:
Kishiyama, Brian, Alsmadi, Izzat
Cloud Service Providers, such as Google Cloud Platform, Microsoft Azure, or Amazon Web Services, offer continuously evolving cloud services. It is a growing industry. Businesses, such as Netflix and PayPal, rely on the Cloud for data storage, computi
Externí odkaz:
http://arxiv.org/abs/2312.14434
Neural text detectors aim to decide the characteristics that distinguish neural (machine-generated) from human texts. To challenge such detectors, adversarial attacks can alter the statistical characteristics of the generated text, making the detecti
Externí odkaz:
http://arxiv.org/abs/2302.05794
Many natural language related applications involve text generation, created by humans or machines. While in many of those applications machines support humans, yet in few others, (e.g. adversarial machine learning, social bots and trolls) machines tr
Externí odkaz:
http://arxiv.org/abs/2212.11808
As the Internet of Things (IoT) continues to grow, cyberattacks are becoming increasingly common. The security of IoT networks relies heavily on intrusion detection systems (IDSs). The development of an IDS that is accurate and efficient is a challen
Externí odkaz:
http://arxiv.org/abs/2301.04008
Autor:
Guerrero, Jesus, Alsmadi, Izzat
Within the text analysis and processing fields, generated text attacks have been made easier to create than ever before. To combat these attacks open sourcing models and datasets have become a major trend to create automated detection algorithms in d
Externí odkaz:
http://arxiv.org/abs/2210.06336
Autor:
Liang, Gongbo, Alsmadi, Izzat
Deep Learning (DL) models are widely used in machine learning due to their performance and ability to deal with large datasets while producing high accuracy and performance metrics. The size of such datasets and the complexity of DL models cause such
Externí odkaz:
http://arxiv.org/abs/2202.12831