Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do about Them
暫譯: 不是用漏洞，而是用貼紙：對機器學習系統的攻擊及其應對措施

Siva Kumar, Ram Shankar, Anderson, Hyrum, Schneier, Bruce

Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do about Them
  • 出版商: Wiley
  • 出版日期: 2023-05-02
  • 售價: $1,220
  • 貴賓價: 9.5 折 $1,159
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119883989
  • ISBN-13: 9781119883982
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

A robust and engaging account of the single greatest threat faced by AI and ML systems

In Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour - from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria - recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

Based on hundreds of interviews of academic researchers, policy makers, business leaders and national security experts, the authors compile the complex science of attacking AI systems with color and flourish and provide a front row seat to those who championed this change. Grounded in real world examples of previous attacks, you will learn how adversaries can upend the reliability of otherwise robust AI systems with straightforward exploits.

The steeplechase to solve this problem has already begun: Nations and organizations are aware that securing AI systems brings forth an indomitable advantage: the prize is not just to keep AI systems safe but also the ability to disrupt the competition's AI systems.

An essential and eye-opening resource for machine learning and software engineers, policy makers and business leaders involved with artificial intelligence, and academics studying topics including cybersecurity and computer science, Not With A Bug, But With A Sticker is a warning--albeit an entertaining and engaging one--we should all heed.

How we secure our AI systems will define the next decade. The stakes have never been higher, and public attention and debate on the issue has never been scarcer.

The authors are donating the proceeds from this book to two charities: Black in AI and Bountiful Children's Foundation.

商品描述(中文翻譯)

對於人工智慧和機器學習系統所面臨的最大威脅的深入且引人入勝的描述

在不是因為錯誤，而是因為貼紙：對機器學習系統的攻擊及其應對措施一書中，一組傑出的對抗性機器學習研究者提供了對當前部署的人工智慧系統所面臨的最重大風險的生動描述：網路安全威脅。作者帶您進行一場廣泛的巡禮——從神秘的政府機構到滑雪小屋的學術研討會，再到Google的自助餐廳——講述主要的AI系統如何仍然容易受到各種壞分子的利用。

基於對學術研究者、政策制定者、商業領袖和國家安全專家的數百次訪談，作者以生動的方式編纂了攻擊AI系統的複雜科學，並為那些倡導這一變革的人提供了前排座位。根據以往攻擊的真實案例，您將了解到對手如何利用簡單的手段顛覆本來可靠的AI系統。

解決這一問題的障礙賽已經開始：各國和組織意識到，保護AI系統帶來了不可動搖的優勢：獎勵不僅在於保持AI系統的安全，還在於能夠擾亂競爭對手的AI系統。

對於從事人工智慧的機器學習和軟體工程師、政策制定者和商業領袖，以及研究網路安全和計算機科學等主題的學者來說，不是因為錯誤，而是因為貼紙是一本必不可少且令人耳目一新的資源，這是一個我們都應該重視的警告——儘管這是一個有趣且引人入勝的警告。

我們如何保護AI系統將定義未來十年。風險從未如此之高，公眾對此問題的關注和討論也從未如此稀缺。

作者將本書的收益捐贈給兩個慈善機構：Black in AI和Bountiful Children's Foundation。

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