Ivan Fursov

Sequence embeddings help to identify fraudulent cases in healthcare insurance

2019 · arXiv (Cornell University)

Fraud causes substantial costs and losses for companies and clients in the finance and insurance industries. Examples are fraudulent credit card transactions or fraudulent claims. It has been estimated that roughly $10$ percent of the …

Adversarial Attacks on Deep Models for Financial Transaction Records

2021 · arXiv (Cornell University)

Machine learning models using transaction records as inputs are popular among financial institutions. The most efficient models use deep-learning architectures similar to those in the NLP community, posing a challenge due to their tremendous number …

A Differentiable Language Model Adversarial Attack on Text Classifiers

2022 · IEEE Access

Transformer models play a crucial role in state of the art solutions to problems arising in the field of natural language processing (NLP). They have billions of parameters and are typically considered as black boxes. …