Results 131 to 140 of about 2,873,813 (294)

Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications [PDF]

open access: yesarXiv
This research addresses privacy protection in Natural Language Processing (NLP) by introducing a novel algorithm based on differential privacy, aimed at safeguarding user data in common applications such as chatbots, sentiment analysis, and machine translation.
arxiv  

Can Synthetic Data Protect Privacy?

open access: yesIEEE Access
To systematically evaluate the privacy protection performance of synthetic data generation algorithms (Synthpop, CTGAN, RTVAE, TVAE, DataSynthesizer), this study applied various safety metrics.
Gidan Min, Junhyoung Oh
doaj   +1 more source

Protecting Data Buyer Privacy in Data Markets [PDF]

open access: yesarXiv
Data markets serve as crucial platforms facilitating data discovery, exchange, sharing, and integration among data users and providers. However, the paramount concern of privacy has predominantly centered on protecting privacy of data owners and third parties, neglecting the challenges associated with protecting the privacy of data buyers.
arxiv  

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  

Privacy self-regulation and the changing role of the state: from public law to social and technical mechanisms of governance [PDF]

open access: yes
This paper provides a structured overview of different self-governance mechanisms for privacy and data protection in the corporate world, with a special focus on Internet privacy.
Bendrath, Ralf
core  

Child Health Dataset Publishing and Mining Based on Differential Privacy Preservation

open access: yesMathematics
With the emergence and development of application requirements such as data analysis and publishing, it is particularly important to use differential privacy protection technology to provide more reliable, secure, and compliant datasets for research in ...
Wenyu Li   +3 more
doaj   +1 more source

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