Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RoBIC: A benchmark suite for assessing classifiers robustness   Many defenses have emerged with the development of adversarial attacks.
Models must be objectively evaluated accordingly. This paper systematically
tackles this concern by proposing a new parameter-free benchmark we coin RoBIC.
RoBIC fairly evaluates the robustness of image classifiers using a new
half-distortion measure. It gauges the robustness of the network against white
and black box attacks, independently of its accuracy. RoBIC is faster than the
other available benchmarks. We present the significant differences in the
robustness of 16 recent models as assessed by RoBIC.

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The categories of this paper are: acc-phys
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The categories of this paper are: q-alg
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The categories of this paper are: stat
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The categories of this paper are: gr-qc
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The categories of this paper are: alg-geom
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The categories of this paper are: eess
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-th
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The categories of this paper are: econ
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The categories of this paper are: hep-ph
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The categories of this paper are: math
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The categories of this paper are: math-ph
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The categories of this paper are: adap-org