AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning [PDF]
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
OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data (Summary in Portuguese) [PDF]
openalex +2 more sources
Retracted: The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges-A Systematic Literature Review (SLR). [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
BridgePure: Revealing the Fragility of Black-box Data Protection [PDF]
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
Basic anatomical and physiological data for use in radiological protection: reference values [PDF]
J. Valentin
openalex +1 more source
A guide to sharing open healthcare data under the General Data Protection Regulation. [PDF]
de Kok JWTM+17 more
europepmc +1 more source
Author-χ: A Java-Based System For XML Data Protection [PDF]
Elisa Bertino+4 more
openalex +1 more source
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
The implications of the Data Protection Act 1998 and the UK market research industry [PDF]
James A Matthewson
openalex +1 more source