Results 41 to 50 of about 2,252,336 (338)
Communications of the ACM, 2016 Seeking a market-based solution to the problem of a person's unjustified inaccessibility to their private information.
Gurevich, Yuri +2 more
openaire +2 more sources
Digital technologies: tensions in privacy and data
Journal of the Academy of Marketing Science, 2022 Driven by data proliferation, digital technologies have transformed the marketing landscape. In parallel, significant privacy concerns have shaken consumer–firm relationships, prompting changes in both regulatory interventions and people’s own privacy ...
S. Quach +4 more
semanticscholar +1 more source
Why the Economics Profession Must Actively Participate in the Privacy Protection Debate [PDF]
, 2019 When Google or the U.S. Census Bureau publish detailed statistics on browsing habits or neighborhood characteristics, some privacy is lost for everybody while supplying public information. To date, economists have not focused on the privacy loss inherent
Abowd, John M +3 more
core +2 more sources
, 2022 We introduce a new privacy model relying on bistochastic matrices, that is, matrices whose components are nonnegative and sum to 1 both row-wise and column-wise. This class of matrices is used to both define privacy guarantees and a tool to apply protection on a data set.
Ruiz, Nicolas, Domingo-Ferrer, Josep
openaire +2 more sources
What Do Our Choices Say About Our Preferences?
, 2021 Taking online decisions is a part of everyday life. Think of buying a house, parking a car or taking part in an auction. We often take those decisions publicly, which may breach our privacy - a party observing our choices may learn a lot about our ...
Grining, Krzysztof +2 more
core
, 2019 In recent years, it has become easy to obtain location information quite precisely. However, the acquisition of such information has risks such as individual identification and leakage of sensitive information, so it is necessary to protect the privacy ...
A Wasef +8 more
core +1 more source
Couldn't or Wouldn't? the Influence of Privacy Concerns and Self-Efficacy in Privacy Management on Privacy Protection [PDF]
, 2015 Sampling 515 college students, this study investigates how privacy protection, including profile visibility, self-disclosure, and friending, are influenced by privacy concerns and efficacy regarding one's own ability to manage privacy settings, a factor ...
Chen, Hsuan-Ting, Chen, Wenhong
core +1 more source
IEEE Symposium on Security and Privacy, 2018 Deep neural networks are susceptible to various inference attacks as they remember information about their training data. We design white-box inference attacks to perform a comprehensive privacy analysis of deep learning models.
Milad Nasr, R. Shokri, Amir Houmansadr
semanticscholar +1 more source
Differential Privacy for Deep and Federated Learning: A Survey
IEEE Access, 2022 Users’ privacy is vulnerable at all stages of the deep learning process. Sensitive information of users may be disclosed during data collection, during training, or even after releasing the trained learning model.
Ahmed El Ouadrhiri, Ahmed M Abdelhadi
semanticscholar +1 more source
JustSTART: How to Find an RSA Authentication Bypass on Xilinx UltraScale(+) with Fuzzing
Transactions on Cryptographic Hardware and Embedded SystemsFuzzing is a well-established technique in the software domain to uncover bugs and vulnerabilities. Yet, applications of fuzzing for security vulnerabilities in hardware systems are scarce, as principal reasons are requirements for design information ...
Maik Ender +4 more
doaj +1 more source