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Scalable Kernel Learning, Tensors in Community Identification, and Robust Adversary Detection in Deep Neural Networks

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Figure

Figure 1.1: Toy example on how non-linear kernel-based feature mapping can transform data vectors for efficient linear learning in the lifted space.
Figure 1.2: Detection of overlapping communities in a brain network using fMRI measurements.
Figure 1.3: Carefully crafted adversarial attacks on street signs can fool CNN classifiers [114]
Figure 2.1: LS-fit versus iteration index for the synthetic dataset (a), and convergence curve for the subspace iterates (b).
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