Sequence embeddings help to identify fraudulent cases in healthcare insurance. - Ivan Fursov; Alexey Zaytsev 002; Rasul Khasyanov; Martin Spindler; Evgeniy Burnaev (CoRR, 2019)

Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. - Ivan Fursov; Alexey Zaytsev 002; Nikita Kluchnikov; Andrey Kravchenko; Evgeny Burnaev (AIST, 2020)

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Nikita Kluchnikov; Andrey Kravchenko; Eugeny Burnaev (CoRR, 2020)

Adversarial Attacks on Deep Models for Financial Transaction Records. - Ivan Fursov; Matvey Morozov; Nina Kaploukhaya; Elizaveta Kovtun; Rodrigo Rivera-Castro; Gleb Gusev; Dmitry Babaev; Ivan Kireev; Alexey Zaytsev 002; Evgeny Burnaev (KDD, 2021)

A Differentiable Language Model Adversarial Attack on Text Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Pavel Burnyshev; Ekaterina Dmitrieva; Nikita Klyuchnikov; Andrey Kravchenko; Ekaterina Artemova; Evgeny Burnaev (CoRR, 2021)

Sequence Embeddings Help Detect Insurance Fraud. - Ivan Fursov; Elizaveta Kovtun; Rodrigo Rivera-Castro; Alexey Zaytsev 002; Rasul Khasyanov; Martin Spindler; Evgeny Burnaev (IEEE Access, 2022)

A Differentiable Language Model Adversarial Attack on Text Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Pavel Burnyshev; Ekaterina Dmitrieva; Nikita Klyuchnikov; Andrey Kravchenko; Ekaterina Artemova; Evgenia Komleva; Evgeny Burnaev (IEEE Access, 2022)