These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Scope
SUBMIT A METRIC
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Submit Time until Adversary’s Success 18 related use cases
The most general time-based metric measures the time until the adversary’s success. It assumes that the adversary will succeed eventually, and is therefore an example of a pessimistic metric. This metric relies on a definition of success, and varies dependi...
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False Acceptance Rate (FAR)
False acceptance rate (FAR) is a security metric used to measure the performance of biometric systems such as voice recognition, fingerprint recognition, face recognition, or iris recognition. It represents the likelihood of a biometric system mistakenly ac...
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Hamming distance
In information theory, the Hamming distance between two strings of equal length is the number of positions at which the corresponding symbols are different. In other words, it measures the minimum number of substitutions required to change one string into t...
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Attack Success Rate (ASR)
The Attack Success Rate (ASR) measures the effectiveness of adversarial attacks against machine learning models. It is calculated as the percentage of attacks that successfully cause a model to misclassify or generate incorrect outputs. Thi...
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