Which statement about testing to prevent data poisoning and adversarial attacks is correct?

The correct answer is C. Adversarial testing consists of using adversarial attacks to identify vulnerabilities so that they can. The ISTQB CT-AI syllabus explains inSection 4.5 - Testing AI-Specific Risksthat adversarial testing is a structured test activity in which testers applyadversarial attacks--crafted or perturbed inputs--to intentionally expose weaknesses in the ML model. The purpose is to…

Specific Approaches to Testing AI-based Systems

Question

Options

ARegression testing can be used to verify data sourcing policies to ensure the source of training
BThe adversarial examples identified during adversarial testing must not be added to the training
CAdversarial testing consists of using adversarial attacks to identify vulnerabilities so that they can
DUsing AIB testing to identify data poisoning can better identify outliers than exploratory data

How the community answered

(67 responses)

A
9% (6)
B
6% (4)
C
82% (55)
D
3% (2)

Explanation

The ISTQB CT-AI syllabus explains inSection 4.5 - Testing AI-Specific Risksthat adversarial testing is a structured test activity in which testers applyadversarial attacks--crafted or perturbed inputs--to intentionally expose weaknesses in the ML model. The purpose is to identify vulnerabilities that could be exploited throughdata poisoning,evasion attacks, orinput manipulation. Option C correctly reflects this syllabus definition: adversarial testing is aboutusing attacks to locate weaknesses so they can be removed or mitigated.

Topics

#adversarial testing#data poisoning#vulnerability identification#security testing

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