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Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection

2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW(2023)

引用 6|浏览2
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95% separation accuracy,activation outputs,adversarial image detection,associated Laplacian matrix,bit vector representations,bit vectors aid,class detectability,class partitioning,deep neural network,embedding spaces,Fiedler partitioning,neural network representations,neural networks,nonadversarial images,ReLU activation patterns,ReLU layer,Representational Dissimilarity Matrices,similarity matrix,similarity scores
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