15 citations · 18 across the 5 of their papers we have counts for
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cs.LG2023★ 1 cited
Designing an attack-defense game: how to increase robustness of financial transaction models via a competition
Alexey Zaytsev, Maria Kovaleva, Alex Natekin +7
Banks routinely use neural networks to make decisions. While these models offer higher accuracy, they are susceptible to adversarial attacks, a risk often overlooked in the context…
cs.LG2023★ 1 cited
Hiding Backdoors within Event Sequence Data via Poisoning Attacks
Alina Ermilova, Elizaveta Kovtun, Dmitry Berestnev +1
The financial industry relies on deep learning models for making important decisions. This adoption brings new danger, as deep black-box models are known to be vulnerable to advers…