Ekaterina Shumitskaya

According to our database, Ekaterina Shumitskaya authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment.

Ekaterina Shumitskaya, Dmitriy S. Vatolin, Anastasia Antsiferova

CoRR, August, 2025

Stochastic BIQA: Median randomized smoothing for certified blind image quality assessment.

Ekaterina Shumitskaya, Mikhail Pautov, Dmitriy S. Vatolin, Anastasia Antsiferova

Comput. Vis. Image Underst., 2025

Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics.

Georgii Gotin, Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics.

Aleksandr Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Towards adversarial robustness verification of no-reference image- and video-quality metrics.

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin

Comput. Vis. Image Underst., 2024

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics.

Alexander Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova

CoRR, 2024

Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics.

Victoria Leonenkova, Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin

CoRR, 2024

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics.

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks.

Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Ekaterina Shumitskaya, Sergey Lavrushkin, Dmitriy S. Vatolin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks.

Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Sergey Lavrushkin, Ekaterina Shumitskaya, Maksim Velikanov, Dmitriy S. Vatolin

CoRR, 2023

Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics.

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics.

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin

Proceedings of the 33rd British Machine Vision Conference 2022, 2022