Real-Time Adversarial Attack Detection with Deep Image Prior Initialized as a High-Level Representation Based Blurring Network
Several recent studies have shown that artificial intelligence (AI) systems can malfunction due to intentionally manipulated data coming through normal channels. Such kinds of manipulated data are called adversarial examples. Adversarial examples can pose a major threat to an AI-led society when an...
Main Authors: | Richard Evan Sutanto, Sukho Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/1/52 |
Similar Items
-
Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition
by: Sheeba Lal, et al.
Published: (2021-06-01) -
Adversarial Dual Network Learning With Randomized Image Transform for Restoring Attacked Images
by: Jianhe Yuan, et al.
Published: (2020-01-01) -
A Hybrid Adversarial Attack for Different Application Scenarios
by: Xiaohu Du, et al.
Published: (2020-05-01) -
Multitask adversarial attack with dispersion amplification
by: Pavlo Haleta, et al.
Published: (2021-09-01) -
Adversarial Attacks Against Face Recognition: A Comprehensive Study
by: Fatemeh Vakhshiteh, et al.
Published: (2021-01-01)