# Adversarial AI Attacks, Mitigations, and Defense Strategies

Adversarial AI Attacks, Mitigations, and Defense Strategies is a Packt cybersecurity guide covering ways AI systems can be attacked and defended. It pairs attack walkthroughs with countermeasures and secure-by-design topics, including threat modeling and MLSecOps. The listing says readers should have basic security, machine-learning, and Python knowledge.

- [Original product page](https://best-deals.pro/product/adversarial-ai-attacks-mitigations-defense-strategies-book)
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- Market: US
- Language: en-US
- Currency: USD
- Category: Books, Music & Hobbies > Books, Music & Movies > Books & Comics
- Price: 26.91 USD
- Previous price: 59.99 USD
- Discount: 55%
- Price checked: 2026-11-14T05:51:36.416Z
- Rating: 4.6 / 5
- Reviews: 58

Prices and deal status are the latest recorded data, not a guarantee of availability. Confirm the price and availability with the store.

## At a glance

- Explains attacks including poisoning, evasion, model tampering, supply-chain threats, model or data theft, and prompt injection.
- Describes hands-on adversarial attack exploration alongside defensive measures.
- Covers threat modeling, secure-by-design methods, DevSecOps, MLOps, and MLSecOps.
- Includes generative AI and LLM topics such as prompt injection and poisoning of embeddings in RAG and fine-tuning.

## Pros

- Treats offensive techniques and defensive mitigations together, making the guide relevant to both threat analysis and secure system design.
- Its scope spans model development, deployed AI, and generative AI attack scenarios.
- The listing outlines practical exercises in an adversarial playground as well as frameworks and enterprise security guidance.

## Cons

- The listing assumes readers already understand basic security and ML concepts and have basic Python knowledge.

## Specifications

### Publication details
- Publisher: Packt Publishing
- Publication date: July 26, 2024
- Language: English
- Print length: 586 pages
- ISBN-10: 1835087981
- ISBN-13: 978-1835087985
### Dimensions and installation
- Weight listed: 2.25 pounds
- Dimensions: 7.5 x 1.36 x 9.25 inches

## A good fit for

- Cybersecurity professionals, including security architects, analysts, engineers, penetration testers, ethical hackers, and incident responders.
- AI developers and engineers seeking to consider security during model and system development.
- Security leaders looking for threat-modeling and secure-by-design guidance for AI.

## Less suited to

- Readers seeking a beginner introduction to cybersecurity, machine learning, or Python without prior foundational knowledge.
- Readers looking for a narrow reference on only LLM prompt injection or only AI governance, since the described scope covers multiple attack categories and defenses.

## Customer feedback

Aggregate ratings lean positive, with most ratings in the five-star category and a smaller share in the one- to three-star categories. Ratings alone do not explain why readers responded as they did or establish how well the book's attack walkthroughs and defenses work in practice. Consider the stated technical prerequisites and broad subject coverage when judging its fit.

## Frequently asked questions

### What topics does the book cover?
The listing describes poisoning, trojan horses, evasion, supply-chain and privacy attacks, model and data theft, GAN misuse, prompt injection, and defenses including threat modeling and MLSecOps.
### What background does the listing recommend?
It says readers should have a basic understanding of security, ML concepts, and Python.
### Does the listing describe practical exercises?
Yes. It says readers can set up an adversarial playground to explore attacks and examine countermeasures.
### Is a digital edition included?
The listing claims a DRM-free PDF and access to Packt's Reader, with email sign-up and proof of purchase required.

## Offer details

- The claimed DRM-free PDF and Packt Reader access require email sign-up and proof of purchase.

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## Images

![Adversarial AI Attacks, Mitigations, and Defense Strategies — 1](https://best-deals.pro/i/w-M_Kf4cSZW0KI52OvVujMvqUOKZF7U_I3BtM8SKk8heN0uQfISpVuym5YEPEjARcpg6_eQdvITTVvv064twjzErPu3VBSy4mhecKyp7JROU8DCRKVPd.jpg)