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RS Siva Kumar

Not with a Bug, But with a Sticker - Attacks on Machine Learning Systems and What To Do About Them

Not with a Bug, But with a Sticker - Attacks on Machine Learning Systems and What To Do About Them

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  • More about Not with a Bug, But with a Sticker - Attacks on Machine Learning Systems and What To Do About Them

Not With A Bug,But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them is a book that explores the single greatest threat faced by AI and ML systems: cybersecurity threats. It is based on hundreds of interviews with academic researchers, policy makers, business leaders, and national security experts and provides a front-row seat to those who championed this change. The stakes have never been higher, and public attention and debate on the issue have never been scarcer, and the authors are donating the proceeds from the book to two charities: Black in AI and Bountiful Childrens Foundation.

Format: Hardback
Length: 224 pages
Publication date: 02 May 2023
Publisher: John Wiley & Sons Inc


In their book "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 delve into the most significant threat facing currently deployed artificial intelligence systems: cybersecurity threats. The authors take readers on a captivating journey, exploring the vulnerability of major AI systems to the exploits of bad actors from various backgrounds. Through a series of interviews with academic researchers, policy makers, business leaders, and national security experts, the authors compile a comprehensive understanding of the complex science of attacking AI systems. They offer a front-row seat to those who have championed this change, providing a vivid portrayal of the challenges and opportunities involved.

Based on real-world examples of previous attacks, the book illustrates how adversaries can undermine the reliability of otherwise robust AI systems through simple exploits. Recognizing the urgency of the situation, nations and organizations are actively pursuing solutions to secure AI systems, as the benefits extend beyond protecting these systems and include the ability to disrupt the competition's AI systems.

"Not With A Bug,But With A Sticker" serves as an essential and eye-opening resource for machine learning and software engineers, policy makers, business leaders, and academics studying cybersecurity and computer science. It serves as a warning that we should all heed, as the security of our AI systems will shape the next decade. The stakes have never been higher, and the need for proactive measures and collaboration is paramount.

The book highlights the importance of a multi-faceted approach to securing AI systems. This includes developing robust algorithms, implementing robust security measures, and fostering a culture of cybersecurity awareness and education within organizations. It also emphasizes the need for ongoing research and development to stay ahead of evolving threats and vulnerabilities.

Furthermore, the book raises important ethical considerations related to AI and cybersecurity. It explores the potential impact of attacks on AI systems on society, including the potential for discrimination, misinformation, and the erosion of privacy. It calls for responsible and ethical practices in the development and deployment of AI systems, including transparency, accountability, and the protection of human rights.

In conclusion, "Not With A Bug,But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them" is a must-read for anyone interested in the field of artificial intelligence and cybersecurity. It provides a comprehensive and engaging account of the most significant threat facing AI systems and offers valuable insights and solutions for securing these systems. By understanding the challenges and opportunities associated with cybersecurity, we can work towards a future where AI systems are safe, reliable, and beneficial to society.

Weight: 482g
Dimension: 161 x 237 x 21 (mm)
ISBN-13: 9781119883982

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