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NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability

Year: 2025

Type: conference-paper

Source: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

DOI: 10.1109/wacv61041.2025.00738

Authors: Krishna Kanth Nakka, Alexandre Alahi

Institution: École Polytechnique Fédérale de Lausanne

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409262167

FWCI:

Cites: 65

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Related to: 10