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CTRAIN - A Training Library for Certifiably Robust Neural Networks (Extended Abstract)

Year: 2025

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-99991-8_13

Authors: Konstantin Kaulen, Holger H. Hoos

Institutions: RWTH Aachen University, Leiden University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4415566681

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Cites: 11

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