Search Results for author: Christian Haas

Found 2 papers, 0 papers with code

POET: A Self-learning Framework for PROFINET Industrial Operations Behaviour

no code implementations29 Apr 2023 Ankush Meshram, Markus Karch, Christian Haas, Jürgen Beyerer

It successfully detects and reports the anomalies triggered by a network attack in a miniaturized PROFINET-based industrial system, executed through valid network protocol exchanges and resulting in invalid PROFINET operation transition for the device.

Anomaly Detection Network Intrusion Detection +2

Fairness in Machine Learning: A Survey

no code implementations4 Oct 2020 Simon Caton, Christian Haas

As Machine Learning technologies become increasingly used in contexts that affect citizens, companies as well as researchers need to be confident that their application of these methods will not have unexpected social implications, such as bias towards gender, ethnicity, and/or people with disabilities.

BIG-bench Machine Learning Binary Classification +2

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