Anastasia Antsiferova

Orcid: 0000-0002-1272-5135

According to our database1, Anastasia Antsiferova authored at least 30 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment.
CoRR, August, 2025

LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts.
CoRR, July, 2025

Stable VMAF: investigating VMAF's vulnerabilities to adversarial attacks.
Multim. Syst., June, 2025

NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness Analysis.
CoRR, June, 2025

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations.
CoRR, June, 2025

Watermark Overwriting Attack on StegaStamp algorithm.
CoRR, May, 2025

Stochastic BIQA: Median randomized smoothing for certified blind image quality assessment.
Comput. Vis. Image Underst., 2025

Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025

2024
Towards adversarial robustness verification of no-reference image- and video-quality metrics.
Comput. Vis. Image Underst., 2024

Accelerated zero-order SGD under high-order smoothness and overparameterized regime.
CoRR, 2024

Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods.
CoRR, 2024

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics.
CoRR, 2024

Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics.
CoRR, 2024

Adversarial purification for no-reference image-quality metrics: applicability study and new methods.
CoRR, 2024

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics.
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.
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.
CoRR, 2023

Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Video compression dataset and benchmark of learning-based video-quality metrics.
CoRR, 2022

ERQA: Edge-restoration Quality Assessment for Video Super-Resolution.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Video compression dataset and benchmark of learning-based video-quality metrics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Shot boundary detection method based on a new extensive dataset and mixed features.
CoRR, 2021

Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation.
CoRR, 2021

Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing.
CoRR, 2021

Hacking VMAF and VMAF NEG: Vulnerability to Different Preprocessing Methods.
Proceedings of the AICCC 2021: 4th Artificial Intelligence and Cloud Computing Conference, Kyoto, Japan, December 17, 2021

2019
Video Distortion Method for VMAF Quality Values Increasing.
CoRR, 2019

Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE.
CoRR, 2019

2017
The influence of 3D video artifacts on discomfort of 302 viewers.
Proceedings of the International Conference on 3D Immersion, 2017


  Loading...