1 citations · 1 across the 2 of their papers we have counts for
3 papers
Machine Translation Models Stand Strong in the Face of Adversarial Attacks
Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev
Adversarial attacks expose vulnerabilities of deep learning models by introducing minor perturbations to the input, which lead to substantial alterations in the output. Our researc…
A Single Example Can Improve Zero-Shot Data Generation
Pavel Burnyshev, Valentin Malykh, Andrey Bout +2
Sub-tasks of intent classification, such as robustness to distribution shift, adaptation to specific user groups and personalization, out-of-domain detection, require extensive and…
A Differentiable Language Model Adversarial Attack on Text Classifiers
Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev +5
Robustness of huge Transformer-based models for natural language processing is an important issue due to their capabilities and wide adoption. One way to understand and improve rob…