Results 21 to 30 of about 703,183 (313)
Transactions on Cryptographic Hardware and Embedded Systems, 2023 In this paper we present the first formally verified implementations of Kyber and, to the best of our knowledge, the first such implementations of any post-quantum cryptosystem.
José Bacelar Almeida +11 more
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Scaling Exponents of Time Series Data: A Machine Learning Approach
Entropy, 2023 In this study, we present a novel approach to estimating the Hurst exponent of time series data using a variety of machine learning algorithms. The Hurst exponent is a crucial parameter in characterizing long-range dependence in time series, and ...
Sebastian Raubitzek +3 more
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Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2016 Privacy violations in online social networks (OSNs) often arise as a result of users sharing information with unintended audiences. One reason for this is that, although OSN capabilities for creating and managing social groups can make it easier to be selective about recipients of a given post, they do not provide enough guidance to the users to make ...
Calikli, Gul +8 more
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Listening to bluetooth beacons for epidemic risk mitigation
Scientific Reports, 2022 The ongoing COVID-19 pandemic let to efforts to develop and deploy digital contact tracing systems to expedite contact tracing and risk notification. Unfortunately, the success of these systems has been limited, partly owing to poor interoperability with
Gilles Barthe +10 more
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Privacy Profiles and Amplification by Subsampling
The Journal of Privacy and Confidentiality, 2020 Differential privacy provides a robust quantifiable methodology to measure and control the privacy leakage of data analysis algorithms. A fundamental insight is that by forcing algorithms to be randomized, their privacy leakage can be characterized by ...
Borja Balle +2 more
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IEEE Access, 2020 The recent success of deep neural networks is attributed in part to large-scale well-labeled training data. However, with the ever-increasing size of modern datasets, combined with the difficulty of obtaining label information, semi-supervised learning ...
Xiaotao Wei +4 more
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Comprehensive quantitative analysis on privacy leak behavior. [PDF]
PLoS ONE, 2013 Privacy information is prone to be leaked by illegal software providers with various motivations. Privacy leak behavior has thus become an important research issue of cyber security.
Lejun Fan +5 more
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Speranza: Usable, Privacy-friendly Software Signing
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023 15 pages, 5 ...
Kelsey Merrill +3 more
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IET Software, 2021 This study argues the difference between security and privacy and outlines the concept of Privacy Debt as a new Technical Debt. Privacy is gaining momentum in any software system due to mandatory compliance with respect to laws and regulations. There are
Xabier Larrucea +2 more
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VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis
Machine Learning and Knowledge Extraction, 2022 The integration of heterogeneous and weakly linked log data poses a major challenge in many log-analytic applications. Knowledge graphs (KGs) can facilitate such integration by providing a versatile representation that can interlink objects of interest ...
Kabul Kurniawan +5 more
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