Springer Vieweg Machine Learning Under Malware Attack
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Machine Learning under Malware Attack\nby Raphael Labaca-Castro\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Raphael Labaca-Castro\nTitle: Machine Learning under Malware Attack\nFormat: Paperback\nLanguage: English\nTopic: Machine learning\nPublisher: Springer Fachmedien Wiesbaden\nPublication year: 2023\nEdition: 1st ed. 2023\nISBN-13: 9783658404413\nISBN-10: 3658404418\n\n------------------------------\nDescription\n------------------------------\nMachine learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return prefer.
Springer Vieweg Machine Learning Under Malware Attack
Machine Learning under Malware Attack\nby Raphael Labaca-Castro\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Raphael Labaca-Castro\nTitle: Machine Learning under Malware Attack\nFormat: Paperback\nLanguage: English\nTopic: Machine learning\nPublisher: Springer Fachmedien Wiesbaden\nPublication year: 2023\nEdition: 1st ed. 2023\nISBN-13: 9783658404413\nISBN-10: 3658404418\n\n------------------------------\nDescription\n------------------------------\nMachine learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return prefer.
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