APPLIED AIGLOSSARY

ByJulian Calvo, Ed.D.Founder, DecipherU

What is Model Evasion Attack in Applied AI?

AI x Cybersecurity Convergence
ByDecipherU Editorial
Version 1.0 · Published April 2026 · Last verified April 2026

An adversarial attack that crafts input designed to cause a deployed model to produce wrong output while appearing benign to a human reviewer. Includes adversarial examples for image classifiers, perturbed text for spam filters, and jailbreak prompts for LLM content filters. Named in the NIST AI 100-2 e2025 taxonomy.

Why Model Evasion Attack Matters for Your AI or Cybersecurity Career

Evasion is the most-studied adversarial-ML attack category. AI Security Engineers measure model robustness with adversarial test suites; AI Red Team Engineers design the attacks.

Related Applied AI Terms

An adversarial attack that crafts input designed to cause a deployed model to produce wrong output while appearing benign to a human reviewer. Includes adversarial examples for image classifiers, perturbed text for spam filters, and jailbreak prompts for LLM content filters. Named in the NIST AI 100-2 e2025 taxonomy.

Evasion is the most-studied adversarial-ML attack category. AI Security Engineers measure model robustness with adversarial test suites; AI Red Team Engineers design the attacks.

Last verified: April 2026?Report an inaccuracy