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Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS

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Year: 2024
Type: conference-paper
Source: International Conference on Network and Service Management (CNSM)
DOI: 10.23919/cnsm62983.2024.10814448
Authors: Katharina Dietz, Mehrdad Hajizadeh, Johannes Schleicher, Nikolas Wehner, Stefan Geißler, Pedro Casas, Michael Seufert, Tobias Hoßfeld
Institutions: University of Würzburg, Chemnitz University of Technology, University of Augsburg, AIT Austrian Institute of Technology GmbH
Language: English

Topic: Explainable Artificial Intelligence (XAI)
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Peace, justice, and strong institutions

Open Access status: closed

Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W4405935219
FWCI: 1.468
Cites: 31
Cited by: 5
Related to: 10
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