Browsing CBMM Memo Series by Author "Deza, Arturo"

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    • The Effects of Image Distribution and Task on Adversarial Robustness 

      Kunhardt, Owen; Deza, Arturo; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2021-02-18)
      In this paper, we propose an adaptation to the area under the curve (AUC) metric to measure the adversarial robustness of a model over a particular ε-interval [ε_0, ε_1] (interval of adversarial perturbation strengths) ...

    • Hierarchically Local Tasks and Deep Convolutional Networks 

      Deza, Arturo; Liao, Qianli; Banburski, Andrzej; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2020-06-24)
      The main success stories of deep learning, starting with ImageNet, depend on convolutional networks, which on certain tasks perform significantly better than traditional shallow classifiers, such as support vector machines. ...