Detecting adversarial examples for deep neural networks via layer directed discriminative noise injection

Deep learning is a popular powerful machine learning solution to the computer vision tasks. The most criticized vulnerability of deep learning is its poor tolerance towards adversarial images obtained by deliberately adding imperceptibly small perturbations to the clean inputs. Such negatives can d...

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Bibliographic Details
Main Authors: Wang, Si, Liu, Wenye, Chang, Chip-Hong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/137128
https://doi.org/10.21979/N9/WCIL7X
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Institution: Nanyang Technological University
Language: English