Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting

26 Nov 2019Weizhe LiuMathieu SalzmannPascal Fua

State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density. While effective, deep learning approaches are vulnerable to adversarial attacks, which, in a crowd-counting context, can lead to serious security issues... (read more)

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