Back to search

Article

Imperceptible Adversarial Attacks against Traffic Scene Recognition

2021-07-12

Abstract excerpt

Adversarial examples have begun to receive widespread attention owning to their potential destructions to the most popular DNNs. They are crafted from original images by embedding well calculated perturbations. In some cases the perturbations are so slight that neither human eyes nor monitoring systems can notice easily and such imperceptibility makes them have greater concealment and damage. For the sake of inves...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
dd0cf07a-d3cf-585a-a8ef-819ba49dfaca
DOI
10.21203/rs.3.rs-652216/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Imperceptible Adversarial Attacks against Traffic Scene RecognitionDOI 10.21203/rs.3.rs-652216/v1
Select a neighboring publication to make it the new centre.