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Disaster Privacy/Privacy Disaster [PDF]
SSRN Electronic Journal, 2019 AbstractPrivacy expectations during disasters differ significantly from nonemergency situations. This paper explores the actual privacy practices of popular disaster apps, highlighting location information flows. Our empirical study compares content analysis of privacy policies and government agency policies, structured by the contextual integrity ...
Yan Shvartzshnaider +8 more
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A Survey on Differential Privacy for Unstructured Data Content
ACM Computing Surveys, 2022Huge amounts of unstructured data including image, video, audio, and text are ubiquitously generated and shared, and it is a challenge to protect sensitive personal information in them, such as human faces, voiceprints, and authorships.
Ying Zhao, Jinjun Chen
semanticscholar +1 more source
Practical Secure Aggregation for Privacy-Preserving Machine Learning
IACR Cryptology ePrint Archive, 2017We design a novel, communication-efficient, failure-robust protocol for secure aggregation of high-dimensional data. Our protocol allows a server to compute the sum of large, user-held data vectors from mobile devices in a secure manner (i.e.
Keith Bonawitz +8 more
semanticscholar +1 more source
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.
James McAndrews +3 more
openaire +4 more sources
SecureML: A System for Scalable Privacy-Preserving Machine Learning
IEEE Symposium on Security and Privacy, 2017Machine learning is widely used in practice to produce predictive models for applications such as image processing, speech and text recognition. These models are more accurate when trained on large amount of data collected from different sources. However,
Payman Mohassel, Yupeng Zhang
semanticscholar +1 more source
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Information systems research, 2004The lack of consumer confidence in information privacy has been identified as a major problem hampering the growth of e-commerce. Despite the importance of understanding the nature of online consumers' concerns for information privacy, this topic has ...
N. Malhotra, Sung S. Kim, James Agarwal
semanticscholar +1 more source
2011
There was a time in the not-so-distant past when most people shared their life experiences via email or direct instant messaging (IM). With respect to privacy and security, it was a simpler time—users logged in directly to their email or IM accounts and sent links, pictures, and so on directly from their desktop or laptop to one or more specific ...
Christopher White, Chris Dannen
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There was a time in the not-so-distant past when most people shared their life experiences via email or direct instant messaging (IM). With respect to privacy and security, it was a simpler time—users logged in directly to their email or IM accounts and sent links, pictures, and so on directly from their desktop or laptop to one or more specific ...
Christopher White, Chris Dannen
openaire +2 more sources
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
semanticscholar +1 more source
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
IEEE Symposium on Security and Privacy, 2016Emerging smart contract systems over decentralized cryptocurrencies allow mutually distrustful parties to transact safely without trusted third parties.
Ahmed E. Kosba +4 more
semanticscholar +1 more source