Results 31 to 40 of about 23,477,104 (364)

Protecting farmers' data privacy and confidentiality: Recommendations and considerations

Frontiers in Sustainable Food Systems, 2022
With the increasing use of precision agriculture and technological development, the agricultural sector has been majorly transformed. Precision agriculture uses technological innovations such as sensors, drones, and data analysis tools to improve the ...
Jasminal Kaur, Seyed Mehdi Hazrati Fard, Mohammad Amiri-Zarandi, Rozita Dara   +3 more
semanticscholar   +1 more source

On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection

Cybersecurity, 2020
Deep learning (DL) has exhibited its exceptional performance in fields like intrusion detection. Various augmentation methods have been proposed to improve data quality and eventually to enhance the performance of DL models.
Yixiang Wang, Shaohua lv, Jiqiang Liu, Xiaolin Chang, Jinqiang Wang   +4 more
doaj   +1 more source

LLM-PBE: Assessing Data Privacy in Large Language Models [PDF]

Proceedings of the VLDB Endowment
Large Language Models (LLMs) have become integral to numerous domains, significantly advancing applications in data management, mining, and analysis.
Qinbin Li, Junyuan Hong, Chulin Xie, J. Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, D. Song   +12 more
semanticscholar   +1 more source

Federated learning for preserving data privacy in collaborative healthcare research

Digital Health, 2022
Generalizability, external validity, and reproducibility are high priorities for artificial intelligence applications in healthcare. Traditional approaches to addressing these elements involve sharing patient data between institutions or practice ...
T. Loftus, M. Ruppert, Benjamin Shickel, T. Ozrazgat-Baslanti, Jeremy A. Balch, P. Efron, Gilbert R. Upchurch, Parisa Rashidi, Christopher J Tignanelli, Jiang Bian, A. Bihorac   +10 more
semanticscholar   +1 more source

New Program Abstractions for Privacy [PDF]

, 2020
Static program analysis, once seen primarily as a tool for optimising programs, is now increasingly important as a means to provide quality guarantees about programs. One measure of quality is the extent to which programs respect the privacy of user data.
C Dwork, C Dwork, C Dwork, D Proserpio, P Kairouz, P Kairouz   +5 more
core   +1 more source

Blockchain Data Privacy Protection and Sharing Scheme Based on Zero-Knowledge Proof

Wireless Communications and Mobile Computing, 2022
The data generated in the Industrial Internet of Things (IIoT) has important research value. In the process of data sharing, data privacy, security, and data availability are important issues that cannot be ignored.
Tao Feng, Pu Yang, Chunyan Liu, Jun-li Fang, Rong Ma   +4 more
semanticscholar   +1 more source

When are identification protocols with sparse challenges safe? The case of the Coskun and Herley attack

Journal of Mathematical Cryptology, 2017
Cryptographic identification protocols enable a prover to prove its identity to a verifier. A subclass of such protocols are shared-secret challenge-response identification protocols in which the prover and the verifier share the same secret and the ...
Asghar Hassan Jameel, Kaafar Mohamed Ali
doaj   +1 more source

Privacy in (mobile) telecommunications services [PDF]

, 2005
Telecommunications services are for long subject to privacy regulations. At stake are traditionally: privacy of the communication and the protection of traffic data. Privacy of the communication is legally founded.
J Hoven van den, Jacques Penders, P.B Thompson, S Warren, W.F.K Altes   +4 more
core   +1 more source

Régimen Jurídico de la acción de acceso a la información pública en el Uruguay

Revista do Direito, 2016
En este artículo se pretende mostrar la importancia del acceso a la información pública, que es un derecho humano fundamental. El estudio se basa en los pilares fundamentales del derecho y las recientes medidas adoptadas por el Estado.
Pablo Schiavi
doaj   +1 more source

Lightweight Revocable Hierarchical Attribute-Based Encryption for Internet of Things

IEEE Access, 2020
The Internet of Things (IoT) is an emerging technology that can benefit from cloud infrastructure. In a cloud-based IoT network, a variety of data is collected by smart devices and transmitted to a cloud server.
Mohammad Ali, Mohammad-Reza Sadeghi, Ximeng Liu   +2 more
doaj   +1 more source