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D3.5 Technical Options and Interventions (Interim report)

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posted on 2020-09-24, 13:13 authored by Alexey KirichenkoAlexey Kirichenko, Samuel MarchalSamuel Marchal

This report presents a study of model poisoning attacks on models from a popular class of anomaly detection algorithms and provides a number of defence recommendation.

Funding

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme Under Grant Agreement no. 786641

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Keywords

Data poisoning attacks model poisoning attacks anomaly detection online distributed learning federated learning statistical distribution models with thresholds backdoor poisoning attacks Technology not elsewhere classified

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CC BY 4.0

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