Work

From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825959

Authors: Farah Aladwan, Raj Mani Shukla, Hossein Abroshan, Shareeful Islam, Ronak Al-Haddad

Institution: Anglia Ruskin University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4406461863

FWCI: 0.294

Cites: 25

Cited by: 1

Related to: 10