Results 11 to 20 of about 699,460 (315)
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2018 This position paper observes how different technical and normative conceptions of privacy have evolved in parallel and describes the practical challenges that these divergent approaches pose. Notably, past technologies relied on intuitive, heuristic understandings of privacy that have since been shown not to satisfy expectations for privacy protection.
Kobbi Nissim, Alexandra Wood
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Internet Policy Review, 2019 This contribution provides a short introduction into the conceptual and socio-technical development of privacy. It identifies central issues that inform and structure current debates as well as transformations of privacy spurred by digital technology. In particular, it highlights central ambivalences of privacy between protection and de-politicization ...
Tobias Matzner, Carsten Ochs
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Creative beyond TikToks : investigating adolescents' social privacy management on TikTok [PDF]
, 2023 TikTok has been criticized for its low privacy standards, but little is known about how its adolescent users protect their privacy. Based on interviews with 54 adolescents in Switzerland, this study provides a comprehensive understanding of young TikTok ...
Knieps, Melanie +5 more
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, 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.
Nicolás Ruiz, Josep Domingo-Ferrer
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Technology, privacy and identity: a Hong Kong perspective [PDF]
, 2008 This article explores the concepts of privacy and identity in Hong Kong in relation to the law relating to data protection. It first considers the notions of privacy and identity in the light of Hong Kong's socioeconomic situation and recent postcolonial
Yap, JL, Wong, R
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Adversarial attack and defense in reinforcement learning-from AI security view
Cybersecurity, 2019 Reinforcement learning is a core technology for modern artificial intelligence, and it has become a workhorse for AI applications ranging from Atrai Game to Connected and Automated Vehicle System (CAV).
Tong Chen +5 more
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LSGAN-AT: enhancing malware detector robustness against adversarial examples
Cybersecurity, 2021 Adversarial Malware Example (AME)-based adversarial training can effectively enhance the robustness of Machine Learning (ML)-based malware detectors against AME. AME quality is a key factor to the robustness enhancement.
Jianhua Wang +4 more
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Forensics and Anti-Forensics of a NAND Flash Memory: From a Copy-Back Program Perspective
IEEE Access, 2021 This paper proposes a safe copy-back program operation in a NAND flash memory, which is targeting digital forensics for a variety of reasons. Due to the background management operation of the NAND flash memory, the original data is highly likely to ...
Na Young Ahn, Dong Hoon Lee
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Automatically Attributing Mobile Threat Actors by Vectorized ATT&CK Matrix and Paired Indicator
Sensors, 2021 During the past decade, mobile attacks have been established as an indispensable attack vector adopted by Advanced Persistent Threat (APT) groups. The ubiquitous nature of the smartphone has allowed users to use mobile payments and store private or ...
Kyoungmin Kim +3 more
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The Effect of Privacy Concerns on Privacy Recommenders [PDF]
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016 Location-sharing services such as Facebook and Foursquare/Swarm have become increasingly popular, due to the ease at which users can share their locations, and participate in services, games and other applications that leverage these locations. But it is important for people who use these services to configure appropriate location-privacy preferences ...
Yuchen Zhao, Juan Ye, Tristan Henderson
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