CT-AI · Question #94
A facial recognition system is being deployed at airports in order to scan passengers' faces and compare them to a database of vaccinations, in order to identify unvaccinated passengers in a…
The correct answer is B. Adversarial testing. Adversarial testing is the most appropriate approach in this case because the system needs to be robust against attempts to subvert it (e.g., by using masks, photos, or other methods to deceive the system). Adversarial testing specifically focuses on identifying vulnerabilities…
Question
A facial recognition system is being deployed at airports in order to scan passengers’ faces and compare them to a database of vaccinations, in order to identify unvaccinated passengers in a pandemic. There are a number of components involved including cameras, a model to segment the image, and a model to identify the face and match it against a known photograph. It is important that there are few false negatives, and that passengers cannot subvert the system. Which ONE of the following types of testing is the MOST appropriate options for the tests you would choose in system testing?
Options
- ATesting for concept drift
- BAdversarial testing
- CTesting for explainability
- DTesting for transparency
How the community answered
(43 responses)- A5% (2)
- B72% (31)
- C14% (6)
- D9% (4)
Explanation
Adversarial testing is the most appropriate approach in this case because the system needs to be robust against attempts to subvert it (e.g., by using masks, photos, or other methods to deceive the system). Adversarial testing specifically focuses on identifying vulnerabilities where attackers may try to manipulate or bypass the system's security or functionality, ensuring that the facial recognition system is resilient against such tactics.
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