Zobrazeno 1 - 10
of 3 895
pro vyhledávání: '"Darzi P"'
Autor:
Bao, Rina, Darzi, Erfan, He, Sheng, Hsiao, Chuan-Heng, Hussain, Mohammad Arafat, Li, Jingpeng, Bjornerud, Atle, Grant, Ellen, Ou, Yangming
Foundation models refer to artificial intelligence (AI) models that are trained on massive amounts of data and demonstrate broad generalizability across various tasks with high accuracy. These models offer versatile, one-for-many or one-for-all solut
Externí odkaz:
http://arxiv.org/abs/2411.02745
Autor:
Darzi, Saleh, Yavuz, Attila Altay
As network services progress and mobile and IoT environments expand, numerous security concerns have surfaced for spectrum access systems. The omnipresent risk of Denial-of-Service (DoS) attacks and raising concerns about user privacy (e.g., location
Externí odkaz:
http://arxiv.org/abs/2409.01924
Autor:
Wang, Chong, Li, Mengyao, He, Junjun, Wang, Zhongruo, Darzi, Erfan, Chen, Zan, Ye, Jin, Li, Tianbin, Su, Yanzhou, Ke, Jing, Qu, Kaili, Li, Shuxin, Yu, Yi, Liò, Pietro, Wang, Tianyun, Wang, Yu Guang, Shen, Yiqing
Recent breakthroughs in large language models (LLMs) offer unprecedented natural language understanding and generation capabilities. However, existing surveys on LLMs in biomedicine often focus on specific applications or model architectures, lacking
Externí odkaz:
http://arxiv.org/abs/2409.00133
Autor:
Darzi, Saleh, Yavuz, Attila A.
Given the rise in cyber threats to networked systems, coupled with the proliferation of AI techniques and enhanced processing capabilities, Denial of Service (DoS) attacks are becoming increasingly sophisticated and easily executable. They target sys
Externí odkaz:
http://arxiv.org/abs/2408.04725
Publikováno v:
Soil Dynamics and Earthquake Engineering, Volume 183, 2024, 108798, ISSN 0267-7261
Seismic wave amplification due to localized site conditions is an important aspect of regional seismic hazard assessment. Without systematic studies of frequency-dependent site-effects during strong Icelandic earthquakes, various local site proxies o
Externí odkaz:
http://arxiv.org/abs/2407.09338
Advancements in communication and information tech birthed the Smart Grid, optimizing energy and data transmission. Yet, user privacy is at risk due to frequent data collection. Existing privacy schemes face vulnerability with quantum machines. To ta
Externí odkaz:
http://arxiv.org/abs/2404.16865
COVID-19 has deeply affected daily life and travel behaviors. Understanding these changes is crucial, prompting an investigation into socio-demographic and socio-economic factors. This study used large-scale mobile device location data in Washington,
Externí odkaz:
http://arxiv.org/abs/2401.14306
The Medical Internet of Things (MIoT) harbors resource-limited medical embedded devices that collect security-sensitive data from users for analysis, monitoring, and diagnosis. Digital signatures play a foundational role in ensuring the authenticatio
Externí odkaz:
http://arxiv.org/abs/2311.18674
In this paper, we delve into the susceptibility of federated medical image analysis systems to adversarial attacks. Our analysis uncovers a novel exploitation avenue: using gradient information from prior global model updates, adversaries can enhance
Externí odkaz:
http://arxiv.org/abs/2310.13893
The rise of quantum computers exposes vulnerabilities in current public key cryptographic protocols, necessitating the development of secure post-quantum (PQ) schemes. Hence, we conduct a comprehensive study on various PQ approaches, covering the con
Externí odkaz:
http://arxiv.org/abs/2310.12037