Adversarial Examples Generation Method Based on Image Color Random Transformation
Although deep neural networks(DNNs) have good performance in most classification tasks,they are vulnerable to adversarial examples,making the security of DNNs questionable.Research designs to generate strongly aggressive adversarial examples can help improve the security and robustness of DNNs.Among...
Main Author: | BAI Zhixu, WANG Hengjun, GUO Kexiang |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial office of Computer Science
2023-04-01
|
Series: | Jisuanji kexue |
Subjects: | |
Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-4-88.pdf |
Similar Items
-
Adversarial Attack and Defense: A Survey
by: Hongshuo Liang, et al.
Published: (2022-04-01) -
Enhancing the Transferability of Adversarial Examples with Feature Transformation
by: Hao-Qi Xu, et al.
Published: (2022-08-01) -
Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing
by: Pengfei Xie, et al.
Published: (2021-12-01) -
Boosting Adversarial Attacks with Nadam Optimizer
by: Qikun Zhang, et al.
Published: (2023-03-01) -
Besting the Black-Box: Barrier Zones for Adversarial Example Defense
by: Kaleel Mahmood, et al.
Published: (2022-01-01)