Results 281 to 290 of about 2,252,336 (338)
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SSRN Electronic Journal, 2023
A signal is privacy‐preserving with respect to a collection of privacy sets if the posterior probability assigned to every privacy set remains unchanged conditional on any signal realization. We characterize the privacy‐preserving signals for arbitrary state space and arbitrary privacy sets.
Strack, Philipp, Yang, Kai Hao
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A signal is privacy‐preserving with respect to a collection of privacy sets if the posterior probability assigned to every privacy set remains unchanged conditional on any signal realization. We characterize the privacy‐preserving signals for arbitrary state space and arbitrary privacy sets.
Strack, Philipp, Yang, Kai Hao
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Security and Privacy Challenges of Large Language Models: A Survey
ACM Computing SurveysLarge language models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering.
B. Das, M. H. Amini, Yanzhao Wu
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On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
International Conference on Mathematics and ComputingLarge language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform writing ...
Biwei Yan +6 more
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Privacy-preserving deep learning
Allerton Conference on Communication, Control, and Computing, 2015Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text.
R. Shokri, Vitaly Shmatikov
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Journal of Law, Medicine & Ethics, 1995
Human genomic information is invested with enormous power in a scientifically motivated society. Genomic information has the capacity to produce a great deal of good for society. It can help identify and understand the etiology and pathophysiology of disease.
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Human genomic information is invested with enormous power in a scientifically motivated society. Genomic information has the capacity to produce a great deal of good for society. It can help identify and understand the etiology and pathophysiology of disease.
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International Economic Review, 2004 An extensive literature in monetary theory has emphasized the role of money as a record‐keeping device. Money assumes this role in situations where using credit would be too costly, and some might argue that this role will diminish as the cost of information and thus the cost of credit‐based transactions continues to fall.
Charles M. Kahn +2 more
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When Federated Learning Meets Privacy-Preserving Computation
ACM Computing SurveysNowadays, with the development of artificial intelligence (AI), privacy issues attract wide attention from society and individuals. It is desirable to make the data available but invisible, i.e., to realize data analysis and calculation without ...
Jingxue Chen +5 more
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Annual Review of Medicine, 2003
During the past 10 years, the number of genetic tests performed more than tripled, and public concern about genetic privacy emerged. The majority of states and the U.S. government have passed regulations protecting genetic information. However, research has shown that concerns about genetic privacy are disproportionate to known instances of information
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During the past 10 years, the number of genetic tests performed more than tripled, and public concern about genetic privacy emerged. The majority of states and the U.S. government have passed regulations protecting genetic information. However, research has shown that concerns about genetic privacy are disproportionate to known instances of information
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Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT
IEEE Transactions on Industrial Informatics, 2020The rapid increase in the volume of data generated from connected devices in industrial Internet of Things paradigm, opens up new possibilities for enhancing the quality of service for the emerging applications through data sharing. However, security and
Yunlong Lu +4 more
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Privacy ad Absurdum - How Workplace Privacy Dashboards Compromise Privacy
2020In times of data-driven business, privacy and data protection are gaining importance. Users and legal bodies require the implementation of privacy-enhancing and transparencyenhancing technologies, such as privacy dashboards. Even though privacy dashboards contribute to privacy and data protection, they may also carry risks themselves.
Polst, Svenja, Feth, Denis
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