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Questions and Answers
What type of attacks involve manipulating input data to mislead AI/ML models?
What type of attacks involve manipulating input data to mislead AI/ML models?
Which type of attack specifically aims to evade detection by AI/ML-based security systems?
Which type of attack specifically aims to evade detection by AI/ML-based security systems?
What type of attack introduces malicious data into training datasets used for ML models?
What type of attack introduces malicious data into training datasets used for ML models?
Which attack attempts to reverse-engineer or extract sensitive data from ML models?
Which attack attempts to reverse-engineer or extract sensitive data from ML models?
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What type of attack involves the reverse-engineering and stealing of ML models?
What type of attack involves the reverse-engineering and stealing of ML models?
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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.
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Description
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.
