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PLATFORM FOR PREVENTING ADVERSARIAL ATTACKS ON IMAGE-BASED MACHINE LEARNING MODELS
PLATFORM FOR PREVENTING ADVERSARIAL ATTACKS ON IMAGE-BASED MACHINE LEARNING MODELS
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机译:防止基于图像的机器学习模型出现攻击性的平台
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摘要
Methods, systems, and computer-readable storage media for receiving a set of training images and a set of classification labels, generating a set of target codebooks based on the set of classification labels, the set of target codebooks being provided as a first set of vectors of random value and dimension, generating a set of output codebooks based on the set of training images, the set of output codebooks being provided as a second set of vectors of random value and dimension, training a ML model by minimizing a loss function provided as a mean-squared-error (MSE) loss function, the loss function being measured by the Euclidean distance between an output codebook of the set of output codebooks and a target codebook of the set of target codebooks.
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