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商品描述
As Deep Neural Networks (DNNs) become increasingly common in real-world applications, the potential to "fool" them presents a new attack vector. In this book, author Katy Warr examines the security implications of how DNNs interpret audio and images very differently to humans.
You'll learn about the motivations attackers have for exploiting flaws in DNN algorithms and how to assess the threat to systems incorporating neural network technology. Through practical code examples, this book shows you how DNNs can be fooled and demonstrates the ways they can be hardened against trickery.
- Learn the basic principles of how DNNs "think" and why this differs from our human understanding of the world
- Understand adversarial motivations for fooling DNNs and the threat posed to real-world systems
- Explore approaches for making software systems that incorporate DNNs less susceptible to trickery
- Peer into the future of Artificial Neural Networks to learn how these algorithms may evolve to become more robust
商品描述(中文翻譯)
隨著深度神經網絡（DNNs）在現實應用中越來越普遍，「欺騙」它們的潛力成為一個新的攻擊向量。在這本書中，作者Katy Warr探討了DNNs對音頻和圖像的解讀與人類有很大不同的安全影響。
您將了解攻擊者利用DNN演算法缺陷的動機，以及如何評估整合神經網絡技術的系統面臨的威脅。通過實際的程式碼示例，本書向您展示了如何欺騙DNNs，並展示了如何使其對抗欺騙。
- 了解DNN「思考」的基本原理，以及這與我們人類對世界的理解有何不同
- 了解欺騙DNNs的對手動機，以及對現實系統造成的威脅
- 探索使整合DNNs的軟體系統更不易受欺騙的方法
- 展望人工神經網絡的未來，了解這些演算法如何發展成更強大的形式
作者簡介
Katy 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.
Katy 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.
作者簡介(中文翻譯)
Katy Warr 在英國的 Roke Manor Research 工作，致力於解決複雜的現實世界問題。她專攻人工智慧和數據分析，並在這些領域中領導公司的技術策略。之前，她在 IBM UK Laboratories 工作，負責設計和開發各種分散式企業產品的軟體，重點放在交易完整性和安全性上。
Katy 在愛丁堡大學獲得人工智慧和計算機科學學位，當時計算能力和可用數據對於深度學習來說還不足以超越理論追求。幾年後，她很幸運地見證了這個令人興奮的領域成為主流。
