Work

Physical Domain Adversarial Attacks Against Source Printer Image Attribution

Year: 2024

Type: conference-paper

Source: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

DOI: 10.1109/apsipaasc63619.2025.10848809

Authors: Nischay Purnekar, Benedetta Tondi, Mauro Barni

Institution: University of Siena

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4406859686

FWCI: 0.587

Cites: 21

Cited by: 2

Related to: 10