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Fix formulas in adversarial example
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pobonomo committed Feb 16, 2024
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4 changes: 2 additions & 2 deletions docs/examples/example3_adversarial_mnist.py
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we can show that the difference is never positive, no such example
exists.
Here, we use the :math:`l1-`\ norm :math:`|| x - \\bar x||_1` to define
Here, we use the :math:`l_1-` norm :math:`|| x - \bar x||_1` to define
the neighborhood with its size defined by a fixed parameter
:math:`\delta`:
.. math:: || x - \\bar x ||_1 \le \delta.
.. math:: || x - \bar x ||_1 \le \delta.
Denoting by :math:`g` the prediction function of the neural network, the
full optimization model reads:
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