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AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning [PDF]

open access: yesarXiv
The development of artificial intelligence has significantly transformed people's lives. However, it has also posed a significant threat to privacy and security, with numerous instances of personal information being exposed online and reports of criminal attacks and theft. Consequently, the need to achieve intelligent protection of personal information
arxiv  

BridgePure: Revealing the Fragility of Black-box Data Protection [PDF]

open access: yesarXiv
Availability attacks, or unlearnable examples, are defensive techniques that allow data owners to modify their datasets in ways that prevent unauthorized machine learning models from learning effectively while maintaining the data's intended functionality.
arxiv  

A guide to sharing open healthcare data under the General Data Protection Regulation. [PDF]

open access: yesSci Data, 2023
de Kok JWTM   +17 more
europepmc   +1 more source

Author-χ: A Java-Based System For XML Data Protection [PDF]

open access: bronze, 2002
Elisa Bertino   +4 more
openalex   +1 more source

Epistasis-aware genome-wide association studies provide insights into the efficient breeding of high-yield and high-quality rice

open access: yesJournal of Integrative Agriculture
Marker-assisted selection (MAS) and genomic selection (GS) breeding have greatly improved the efficiency of rice breeding. Due to the influences of epistasis and gene pleiotropy, ensuring the actual breeding effect of MAS and GS is still a difficult ...
Xiaogang He   +8 more
doaj  

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