Results 11 to 20 of about 693,110 (315)
Architectural Histories, 2023 This article argues that much of what we refer to as privacy in present-day society was materialised, experienced, instrumentalised, and also, to some extent, protected before the 19th century, when it was broadly conceptualised as a value and a right ...
Johannes Ljungberg, Natalie P. Körner
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Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives
Cybersecurity, 2022 Empirical attacks on Federated Learning (FL) systems indicate that FL is fraught with numerous attack surfaces throughout the FL execution. These attacks can not only cause models to fail in specific tasks, but also infer private information.
Pengrui Liu, Xiangrui Xu, Wei Wang
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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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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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Jurisprudential and Legal Study of the Relationship between Surrogate Mother and the Child Born of Surrogacy [PDF]
پژوهشنامه حقوق اسلامی, 2013 Using surrogacy as one of the new ways of supporting fertility in away that the owner of the womb (surrogate mother) does not have anycreational relationship (through ovum) with the child, merely raisingthe fetus of another couple and giving birth to it,
Najadali Almasi +2 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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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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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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Privacy through uncertainty in location-based services [PDF]
, 2013 Location-Based Services (LBS) are becoming more prevalent. While there are many benefits, there are also real privacy risks. People are unwilling to give up the benefits - but can we reduce privacy risks without giving up on LBS entirely?
Kuijpers, Bart +16 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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