IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
Fuente:
arXiv
Saved in:
| Main Authors: | Shumitskaya, Ekaterina, Antsiferova, Anastasia, Vatolin, Dmitriy |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
by: Antsiferova, Anastasia, et al.
Published: (2023)
by: Antsiferova, Anastasia, et al.
Published: (2023)
Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment
by: Shumitskaya, Ekaterina, et al.
Published: (2024)
by: Shumitskaya, Ekaterina, et al.
Published: (2024)
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
by: Leonenkova, Victoria, et al.
Published: (2024)
by: Leonenkova, Victoria, et al.
Published: (2024)
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
by: Gushchin, Alexander, et al.
Published: (2024)
by: Gushchin, Alexander, et al.
Published: (2024)
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
by: Gotin, Georgii, et al.
Published: (2025)
by: Gotin, Georgii, et al.
Published: (2025)
FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment
by: Shumitskaya, Ekaterina, et al.
Published: (2025)
by: Shumitskaya, Ekaterina, et al.
Published: (2025)
NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness Analysis
by: Bychkov, Georgii, et al.
Published: (2025)
by: Bychkov, Georgii, et al.
Published: (2025)
Bridging the Gap Between Saliency Prediction and Image Quality Assessment
by: Alexey, Kirillov, et al.
Published: (2024)
by: Alexey, Kirillov, et al.
Published: (2024)
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?
by: Kashkarov, Egor, et al.
Published: (2024)
by: Kashkarov, Egor, et al.
Published: (2024)
From Pixels to Reality: Physical-Digital Patch Attacks on Real-World Camera
by: Leonenkova, Victoria, et al.
Published: (2026)
by: Leonenkova, Victoria, et al.
Published: (2026)
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction
by: Bogatyrev, Evgeney, et al.
Published: (2023)
by: Bogatyrev, Evgeney, et al.
Published: (2023)
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods
by: Kovalev, Egor, et al.
Published: (2024)
by: Kovalev, Egor, et al.
Published: (2024)
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
by: Liu, Yujia, et al.
Published: (2024)
by: Liu, Yujia, et al.
Published: (2024)
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives
by: Yang, Chenxi, et al.
Published: (2024)
by: Yang, Chenxi, et al.
Published: (2024)
Secure Video Quality Assessment Resisting Adversarial Attacks
by: Zhang, Ao-Xiang, et al.
Published: (2024)
by: Zhang, Ao-Xiang, et al.
Published: (2024)
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
by: Cui, Han, et al.
Published: (2024)
by: Cui, Han, et al.
Published: (2024)
A Novel No-Reference Image Quality Metric For Assessing Sharpness In Satellite Imagery
by: Antonel, Lucas Gonzalo
Published: (2024)
by: Antonel, Lucas Gonzalo
Published: (2024)
Black-box Adversarial Attacks Against Image Quality Assessment Models
by: Ran, Yu, et al.
Published: (2024)
by: Ran, Yu, et al.
Published: (2024)
Similarity and Quality Metrics for MR Image-To-Image Translation
by: Dohmen, Melanie, et al.
Published: (2024)
by: Dohmen, Melanie, et al.
Published: (2024)
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising
by: Yuan, Shuaiyu, et al.
Published: (2024)
by: Yuan, Shuaiyu, et al.
Published: (2024)
Prediction and Reference Quality Adaptation for Learned Video Compression
by: Sheng, Xihua, et al.
Published: (2024)
by: Sheng, Xihua, et al.
Published: (2024)
Susceptibility of Adversarial Attack on Medical Image Segmentation Models
by: Wang, Zhongxuan, et al.
Published: (2024)
by: Wang, Zhongxuan, et al.
Published: (2024)
Versatile Defense Against Adversarial Attacks on Image Recognition
by: Zhang, Haibo, et al.
Published: (2024)
by: Zhang, Haibo, et al.
Published: (2024)
BiRQA: Bidirectional Robust Quality Assessment for Images
by: Gushchin, Aleksandr, et al.
Published: (2026)
by: Gushchin, Aleksandr, et al.
Published: (2026)
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
by: Smirnov, Maksim, et al.
Published: (2024)
by: Smirnov, Maksim, et al.
Published: (2024)
Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics
by: Dohmen, Melanie, et al.
Published: (2024)
by: Dohmen, Melanie, et al.
Published: (2024)
A Novel Distance-Based Metric for Quality Assessment in Image Segmentation
by: Rottmayer, Niklas, et al.
Published: (2025)
by: Rottmayer, Niklas, et al.
Published: (2025)
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
by: Wang, Xiaoqi, et al.
Published: (2024)
by: Wang, Xiaoqi, et al.
Published: (2024)
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment
by: Yu, Li
Published: (2024)
by: Yu, Li
Published: (2024)
BadRefSR: Backdoor Attacks Against Reference-based Image Super Resolution
by: Yang, Xue, et al.
Published: (2025)
by: Yang, Xue, et al.
Published: (2025)
Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images
by: Xing, Xiaodan, et al.
Published: (2024)
by: Xing, Xiaodan, et al.
Published: (2024)
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
by: Risager, Karl Van Eeden, et al.
Published: (2024)
by: Risager, Karl Van Eeden, et al.
Published: (2024)
Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment
by: Lin, Xinying, et al.
Published: (2024)
by: Lin, Xinying, et al.
Published: (2024)
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment
by: Liu, Yuqing, et al.
Published: (2022)
by: Liu, Yuqing, et al.
Published: (2022)
Reviewing FID and SID Metrics on Generative Adversarial Networks
by: de Deijn, Ricardo, et al.
Published: (2024)
by: de Deijn, Ricardo, et al.
Published: (2024)
Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference
by: Zhang, Keke, et al.
Published: (2024)
by: Zhang, Keke, et al.
Published: (2024)
SRAW-Attack: Space-Reweighted Adversarial Warping Attack for SAR Target Recognition
by: Zhang, Yiming, et al.
Published: (2026)
by: Zhang, Yiming, et al.
Published: (2026)
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
by: Dong, Guanglu, et al.
Published: (2025)
by: Dong, Guanglu, et al.
Published: (2025)
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
by: Molodetskikh, Ivan, et al.
Published: (2024)
by: Molodetskikh, Ivan, et al.
Published: (2024)
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
by: Shi, Jinsong, et al.
Published: (2024)
by: Shi, Jinsong, et al.
Published: (2024)
Similar Items
-
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
by: Antsiferova, Anastasia, et al.
Published: (2023) -
Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment
by: Shumitskaya, Ekaterina, et al.
Published: (2024) -
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
by: Leonenkova, Victoria, et al.
Published: (2024) -
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
by: Gushchin, Alexander, et al.
Published: (2024) -
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
by: Gotin, Georgii, et al.
Published: (2025)