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TensorFlow vulnerable to floating point exception in `Conv2D`
ImpactIf Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npwith tf.device"CPU": also can be...
7.5CVSS7AI score0.00478EPSS
SaveExploits0References7Affected Software1
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