Adversarial Attacks and Model Evasion Techniques Quiz

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5 Questions

What type of attacks involve manipulating input data to mislead AI/ML models?

Adversarial Attacks

Which type of attack specifically aims to evade detection by AI/ML-based security systems?

Model Evasion

What type of attack introduces malicious data into training datasets used for ML models?

Poisoning Attacks

Which attack attempts to reverse-engineer or extract sensitive data from ML models?

Model Inversion

What type of attack involves the reverse-engineering and stealing of ML models?

Model Theft

Study Notes

Types of Attacks on AI/ML Models

  • Adversarial attacks: involve manipulating input data to mislead AI/ML models, which can lead to incorrect results or misclassification.

Evasion Attacks

  • Specifically aim to evade detection by AI/ML-based security systems, allowing malicious data to go undetected.

Data Poisoning Attacks

  • Introduce malicious data into training datasets used for ML models, causing the model to learn from incorrect or misleading data.

Model Inversion Attacks

  • Attempt to reverse-engineer or extract sensitive data from ML models, potentially compromising confidential information.

Model Stealing Attacks

  • Involve the reverse-engineering and stealing of ML models, allowing attackers to use or replicate the model for their own purposes.

Test your knowledge of increasing sophistication of attacks in Unit 4 with this quiz. Explore adversarial attacks and model evasion techniques used by attackers to manipulate AI/ML models and evade detection by security systems.

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