The first practical field guide to adversarial AI hacking. AI models are everywhere - in self-driving cars, face recognition, voice assistants, spam filters, and fraud detection systems. But here's the uncomfortable truth: they can all be hacked. In this hands-on book, you'll learn how to attack and defend machine learning systems step by step. Through code labs and real-world case studies, you'll see how small changes can fool massive models - and how to build defenses that actually work. Inside you'll discover ...
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The first practical field guide to adversarial AI hacking. AI models are everywhere - in self-driving cars, face recognition, voice assistants, spam filters, and fraud detection systems. But here's the uncomfortable truth: they can all be hacked. In this hands-on book, you'll learn how to attack and defend machine learning systems step by step. Through code labs and real-world case studies, you'll see how small changes can fool massive models - and how to build defenses that actually work. Inside you'll discover: - How to run evasion attacks (FGSM, PGD) that flip model predictions - How to perform poisoning attacks and build hidden backdoors - How to extract secrets with model inversion and membership inference - How to break vision, NLP, and speech models with real adversarial inputs - How to exploit multimodal models like CLIP with mismatched inputs - How to defend using adversarial training , defensive distillation , and input sanitization - How to build detection pipelines that flag attacks in real time - How to use toolkits like Foolbox, CleverHans, and TextAttack - The ethics, policy, and future of adversarial AI Who this book is for: Ethical hackers, ML engineers, cybersecurity pros, red teamers, and anyone who wants to stay ahead in the new arms race where AI attacks AI . Adversarial AI for Hackers doesn't just explain vulnerabilities - it gives you working code, labs, and a hacker's mindset. Don't just trust AI. Learn how to break it - and defend it.
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Add this copy of Adversarial Ai for Hackers to cart. £49.11, new condition, Sold by Paperbackshop rated 4.0 out of 5 stars, ships from Bensenville, IL, UNITED STATES, published 2025 by Amazon Digital Services LLC-Kdp.