{"product_id":"strengthening-deep-neural-networks-making-ai-less-susceptible-to-adversarial-trickery-paperback-1","title":"Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKaty Warr\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAs deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately \"fool\" them with data that wouldnâ t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNsâ the algorithms intrinsic to much of AIâ are used daily to process image, audio, and video data. \u003c\/p\u003e\u003cp\u003e Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If youâ re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eDelve into DNNs and discover how they could be tricked by adversarial input \u003c\/li\u003e\n\u003cli\u003eInvestigate methods used to generate adversarial input capable of fooling DNNs \u003c\/li\u003e\n\u003cli\u003eExplore real-world scenarios and model the adversarial threat \u003c\/li\u003e\n\u003cli\u003eEvaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data \u003c\/li\u003e\n\u003cli\u003eExamine some ways in which AI might become better at mimicking human perception in years to come \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eKaty Warr works at Roke Manor Research in the UK creating solutions for complex real-world problems. She specializes in AI and data analytics and leads the company's technical strategy in these areas. Previously she worked at IBM UK Laboratories, architecting and developing software for a variety of distributed enterprise products with an emphasis on transactional integrity and security.\u003cbr\u003e\u003cbr\u003eKaty gained her degree in AI and Computer Science from the University of Edinburgh at a time when there was insufficient compute power and data available for deep learning to be much more than a theoretical pursuit. Fast forward a few years and she considers herself fortunate to witness this exciting field becoming mainstream.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 244\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.1 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 03, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":45813285093573,"sku":"9781492044956","price":69.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0757\/6718\/5605\/files\/5EMkz7r5Oe9781492044956_93f81a12-6dfb-4d21-88ac-2e304f5d1071.webp?v=1770987734","url":"https:\/\/selloorium.com\/products\/strengthening-deep-neural-networks-making-ai-less-susceptible-to-adversarial-trickery-paperback-1","provider":"Selloorium","version":"1.0","type":"link"}