Strengthening Deep Neural Networks Making AI Less Susceptible to Adversarial Trickery
暫譯: 強化深度神經網絡

Warr, Katy

Strengthening Deep Neural Networks
  • 出版商: O'Reilly
  • 出版日期: 2019-09-03
  • 定價: $2,310
  • 售價: 8.0 折 $1,848
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1492044954
  • ISBN-13: 9781492044956
  • 相關分類: DeepLearning
  • 相關翻譯: 增強深度神經網絡 (簡中版)

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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）在現實世界應用中變得越來越普遍，對它們進行「欺騙」的潛力成為了一個新的攻擊向量。在這本書中，作者 Katy Warr 探討了 DNNs 在解釋音頻和圖像時與人類有著截然不同的方式所帶來的安全隱患。

您將了解攻擊者利用 DNN 算法缺陷的動機，以及如何評估整合神經網絡技術的系統所面臨的威脅。通過實用的代碼示例，本書展示了 DNNs 如何被欺騙，並演示了如何加強它們以抵禦詭計的方法。

- 學習 DNNs「思考」的基本原則，以及為什麼這與我們人類對世界的理解不同
- 了解欺騙 DNNs 的對抗性動機及其對現實系統所構成的威脅
- 探索使整合 DNNs 的軟體系統不易受到欺騙的方案
- 窺探人工神經網絡的未來，了解這些算法如何演變以變得更加穩健

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，致力於為複雜的現實問題創造解決方案。她專注於人工智慧 (AI) 和數據分析，並領導公司在這些領域的技術策略。之前，她曾在 IBM 英國實驗室工作，負責設計和開發各種分散式企業產品的軟體，重點在於交易完整性和安全性。

Katy 在愛丁堡大學獲得了人工智慧和計算機科學的學位，當時計算能力和數據不足，使得深度學習僅僅是一個理論追求。幾年後，她認為自己很幸運能見證這個令人興奮的領域成為主流。

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