Work

On the Transferability of Adversarial Attacks from Convolutional Neural Networks to Variants of ChatGPT4

Year: 2025

Type: conference-paper

Source: IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)

DOI: 10.1109/dsn-w65791.2025.00072

Author: Niklas Bunzel

Institutions: Technische Universität Darmstadt, Fraunhofer Institute for Secure Information Technology, National Research Center for Applied Cybersecurity ATHENE

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4412404656

FWCI:

Cites: 32

Cited by:

Related to: 10