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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Main Authors: | , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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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 |