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2 Annals of Computer Science and Information Systems

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Towards automated detection of adversarial attacks on tabular data

100%

Biczyk P. , Wawrowski Ł.

Annals of Computer Science and Information Systems

2023

tom Vol. 35

247--251

The paper presents a novel approach to investigating adversarial attacks on machine learning classification models operating on tabular data. The employed method involves using diagnostic parameters calculated on an approximated representation of a model under attack and analyzing differences in these diagnostic parameters over time. The hypothesis researched by the authors is that adversarial attack techniques, even if attempting a low-profile modification of input data, influence those diagnostic attributes in a statistically significant way. Thus, changes in diagnostic attributes can be used for detecting attack events. Three attack approaches on real-world datasets were investigated. The experiments confirm the approach as a promising technique to be further developed for detecting adversarial attacks.

Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit

80%

Janusz A. , Przyborowski M. , Biczyk P. , Ślęzak D.

Annals of Computer Science and Information Systems

2020

tom Vol. 21

77--80

FedCSIS 2020 Data Mining Challenge: Network Device Workload Prediction was the seventh edition of the international data mining competition organized at Knowledge Pit, in association with the Conference on Computer Science and Information Systems. The main goal was to answer the question of whether it is possible to reliably predict workload-related characteristics of monitored network devices based on historical readings. We describe the scope and explain the motivation for this challenge. We also analyze solutions uploaded by the most successful participants and investigate prediction errors which had the greatest influence on the results. Finally, we describe our baseline solution to the considered problem, which turned out to be the most reliable in the final evaluation.