A survey on adversarial attacks and defences
Abstract Deep learning has evolved as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficult to solve using the traditional machine learning techniques in the past. The advancement of deep learning has been so radical that today it...
Main Authors: | Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-03-01
|
Series: | CAAI Transactions on Intelligence Technology |
Subjects: | |
Online Access: | https://doi.org/10.1049/cit2.12028 |
Similar Items
-
Attacks and defences on intelligent connected vehicles: a survey
by: Mahdi Dibaei, et al.
Published: (2020-11-01) -
Unknown presentation attack detection against rational attackers
by: Ali Khodabakhsh, et al.
Published: (2021-09-01) -
Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification
by: Samer Y. Khamaiseh, et al.
Published: (2022-01-01) -
Survey on backdoor attacks targeted on neural network
by: TAN Qingyin, HAN Ye, LIU Yijing, LIU Zheli, et al.
Published: (2021-06-01) -
Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks
by: Hwiyoung Kim, et al.
Published: (2019-03-01)