Titlebook: Information Security; 26th International C Elias Athanasopoulos,Bart Mennink Conference proceedings 2023 The Editor(s) (if applicable) and

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Balanced Privacy Budget Allocation for?Privacy-Preserving Machine Learningrmance using logistic regression and support vector machines as machine learning algorithms. . using our privacy budget allocation algorithm is effective in terms of accuracy and the number of available attributes. We also clarify the conditions under which our method is more effective for a given d

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SIFAST: An Efficient Unix Shell Embedding Framework for?Malicious Detectionve demonstrated that SIFAST can significantly improve the accuracy and efficiency on different downstream models. We also provide a supervised dataset of normal and abnormal Unix commands and scripts, which was collected from various open-source data. Hopefully, we can make a humble contribution to

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From Manifest V2 to V3: A Study on the Discoverability of Chrome Extensionsn empirical study of the Chrome Web Store. We collected and analysed 108,416 extensions and found that Manifest V3 produces a relative reduction in WAR detectability ranging between 4% and 10%, with popular extensions exhibiting a higher impact. Additionally, our study revealed that 30.78% of extens

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notion of?.vita nova.?in a mesmerizing phantasmagoria that drags the reader to the bowels and secret pleasures of the creative process..978-3-031-52253-6978-3-031-52251-2Series ISSN 2755-4503 Series E-ISSN 2755-4511

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Songyue Chen,Rong Yang,Hong Zhang,Hongwei Wu,Yanqin Zheng,Xingyu Fu,Qingyun Liu