Evaluating Impact of Image Transformations on Adversarial Examples

Evaluating Impact of Image Transformations on Adversarial Examples

Deep learning has revolutionized image recognition. One significant obstacle still remains, the vulnerability of these models to adversarial attacks. These attacks manipulate images with subtle changes that cause CNN misclassification. While methods, such as adversarial training, have been proposed...

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Bibliographic Details
Main Authors: Pu Tian, Sathvik Poreddy, Charitha Danda, Chihnita Gowrineni, Yalong Wu, Weixian Liao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
AI security
adversarial attacks
image transformations
deep learning robustness
Online Access:https://ieeexplore.ieee.org/document/10737087/
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https://ieeexplore.ieee.org/document/10737087/

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