Sergey Lavrushkin

18 papers A* 3A 1Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Black-box Universal Adversarial Perturbations for Image and Video Quality Assessment Methods. ICME Georgii Bychkov, Sergey Lavrushkin, Dmitriy S. Vatolin
2025	J	`jnl`	Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack. Big Data Cogn. Comput. Khaled Abud, Sergey Lavrushkin, Dmitriy S. Vatolin
2025	A*	`conf`	Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics. ICML Aleksandr Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova
2025	J	`jnl`	Stable VMAF: investigating VMAF's vulnerabilities to adversarial attacks. Multim. Syst. Sergey Lavrushkin, Maksim Khrebtov, Anastasia Antsiferova, Georgii Bychkov, Alexey Soloviev, Dmitriy S. Vatolin
2024	A*	`conf`	Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks. AAAI Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Ekaterina Shumitskaya, Sergey Lavrushkin, Dmitriy S. Vatolin
2024	J	`jnl`	Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods. CoRR Egor Kovalev, Georgii Bychkov, Khaled Abud, Aleksandr Gushchin, Anna Chistyakova, Sergey Lavrushkin, Dmitriy S. Vatolin, Anastasia Antsiferova
2024	J	`jnl`	Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics. CoRR Alexander Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova
2024	J	`jnl`	IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models. CoRR Khaled Abud, Sergey Lavrushkin, Alexey Kirillov, Dmitriy S. Vatolin
2024	—	`conf`	Image Robustness to Adversarial Attacks on No-Reference Image-Quality Metrics. EUSIPCO Daniil Konstantinov, Sergey Lavrushkin, Dmitriy S. Vatolin
2023	J	`jnl`	Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks. CoRR Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Sergey Lavrushkin, Ekaterina Shumitskaya, Maksim Velikanov, Dmitriy S. Vatolin
2022	A*	`conf`	Video compression dataset and benchmark of learning-based video-quality metrics. NeurIPS Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Aleksandr Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov
2022	J	`jnl`	Video compression dataset and benchmark of learning-based video-quality metrics. CoRR Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Alexander Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov
2021	—	`conf`	Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics. SD&A Sergey Lavrushkin, Ivan Molodetskikh, Konstantin Kozhemyakov, Dmitriy S. Vatolin
2020	—	`conf`	Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos. IC3D Sergey Lavrushkin, Konstantin Kozhemyakov, Dmitriy S. Vatolin
2020	—	`conf`	Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos. IC3D Kirill Malyshev, Sergey Lavrushkin, Dmitriy S. Vatolin
2018	—	`conf`	Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network. 3DTV-Conference Sergey Lavrushkin, Dmitriy S. Vatolin
2018	—	`conf`	Local Method of Color-Difference Correction Between Stereoscopic-Video Views. 3DTV-Conference Sergey Lavrushkin, Vitaliy Lyudvichenko, Dmitriy S. Vatolin
2016	—	`conf`	Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video. IC3D Alexander Bokov, Sergey Lavrushkin, Mikhail Erofeev, Dmitriy S. Vatolin, Alexey Fedorov