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Machine Learning Model Score Obfuscation Using Step Function, Position-Dependent Noise
Machine Learning Model Score Obfuscation Using Step Function, Position-Dependent Noise
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机译:机器学习模型使用阶梯函数,位置依赖性噪声分数混淆
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摘要
An artefact is received. Features are extracted from this artefact which are, in turn, used to populate a vector. The vector is then input into a classification model to generate a score. The score is then modified using a step function so that the true score is not obfuscated. Thereafter, the modified score can be provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.
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