Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment | Paper Citation Record

Observation 30b41e89-8256-4fd7-8402-b16a7ca1078e · outbound

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

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Comparing the robustness of modern no-reference image-and video-quality metrics to adversarial attacks

Reference 1

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This paper cites Fooling an automatic image quality estimator.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Fooling an automatic image quality estimator

Reference 2

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This paper cites (cer- tified!!) adversarial robustness for free! In The Eleventh In- ternational Conference on Learning Representations , 2022.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment (cer- tified!!) adversarial robustness for free! In The Eleventh In- ternational Conference on Learning Representations , 2022

Reference 3

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This paper cites Topiq: A top-down approach from semantics to distortions for image quality assessment.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Topiq: A top-down approach from semantics to distortions for image quality assessment

Reference 4

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This paper cites Densepure: Understanding diffusion models towards adver- sarial robustness.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Densepure: Understanding diffusion models towards adver- sarial robustness

Reference 5

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Observation dec6fd77-1f45-4084-8fbd-d4a13cce0ee3 · outbound

This paper cites De- tection as regression: Certified object detection with median smoothing.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment De- tection as regression: Certified object detection with median smoothing

Reference 6

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Observation f37f52ae-b86c-4cc3-8ea6-e64a2c161c77 · outbound

This paper cites Increasing the robustness of image quality assessment models through adversarial training.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Increasing the robustness of image quality assessment models through adversarial training

Reference 7

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Observation 031ce39b-f1a3-4131-a38e-197b4b7b570e · outbound

This paper cites Increasing the robustness of image quality assessment models through adversarial training.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Increasing the robustness of image quality assessment models through adversarial training

Reference 8

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Observation eb385355-1a2a-4392-b62b-746260644cc7 · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Certified adversarial robustness via randomized smoothing

Reference 9

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Observation c073bf7f-6890-45dd-a1be-2b9de9db2034 · outbound

This paper cites Sparse adversarial video attack based on dual-branch neural network on industrial artificial intelligence of things.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Sparse adversarial video attack based on dual-branch neural network on industrial artificial intelligence of things

Reference 10

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This paper cites Perceptual quality assessment of smartphone photog- raphy.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Perceptual quality assessment of smartphone photog- raphy

Reference 11

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This paper cites Massive online crowdsourced study of subjective and objective picture qual- ity.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Massive online crowdsourced study of subjective and objective picture qual- ity

Reference 12

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This paper cites Lipsim: A provably robust perceptual similarity metric.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Lipsim: A provably robust perceptual similarity metric

Reference 13

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This paper cites LipSim: A Provably Robust Perceptual Similarity Metric.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment LipSim: A Provably Robust Perceptual Similarity Metric

Reference 14

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This paper cites R-LPIPS: An Adversarially Robust Perceptual Similarity Metric.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment R-LPIPS: An Adversarially Robust Perceptual Similarity Metric

Reference 15

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This paper cites Explaining and Harnessing Adversarial Examples.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Explaining and Harnessing Adversarial Examples

Reference 16

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This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 17

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Observation c2026f4d-01d1-4074-b9e6-c1cba1b8dfec · outbound

This paper cites Guardians of image quality: Benchmark- ing defenses against adversarial attacks on image quality metrics.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Guardians of image quality: Benchmark- ing defenses against adversarial attacks on image quality metrics

Reference 18

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Observation 8875af73-da7d-458e-a89c-460902e1372d · outbound

This paper cites Adversarial purification for no-reference image-quality metrics: applicability study and new methods.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Adversarial purification for no-reference image-quality metrics: applicability study and new methods

Reference 19

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Observation 96a64c6c-4be6-4cf2-a3db-fc21b958ce74 · outbound

This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment

Reference 20

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This paper cites Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?

Reference 21

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This paper cites E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles

Reference 22

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This paper cites Image robustness to adversarial attacks on no- reference image-quality metrics.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Image robustness to adversarial attacks on no- reference image-quality metrics

Reference 23

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This paper cites Adversarial attacks against blind image quality assessment models.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Adversarial attacks against blind image quality assessment models

Reference 24

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

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics

Reference 25

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This paper cites Kadid-10k: A large-scale artificially distorted iqa database.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Kadid-10k: A large-scale artificially distorted iqa database

Reference 26

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This paper cites Defense against adversarial attacks on no- reference image quality models with gradient norm regu- larization.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Defense against adversarial attacks on no- reference image quality models with gradient norm regu- larization

Reference 27

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This paper cites Evaluating the vulnera- bility of deep learning-based image quality assessment meth- ods to adversarial attacks.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Evaluating the vulnera- bility of deep learning-based image quality assessment meth- ods to adversarial attacks

Reference 28

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This paper cites Reasons for the superiority of stochastic estima- tors over deterministic ones: Robustness, consistency and perceptual quality.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Reasons for the superiority of stochastic estima- tors over deterministic ones: Robustness, consistency and perceptual quality

Reference 29

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This paper cites Black-box adversarial attacks against im- age quality assessment models.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Black-box adversarial attacks against im- age quality assessment models

Reference 30

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This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment U- net: Convolutional networks for biomedical image segmen- tation

Reference 31

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This paper cites Denoised smoothing: A provable defense for pretrained classifiers.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Denoised smoothing: A provable defense for pretrained classifiers

Reference 32

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This paper cites Universal perturbation attack on differ- entiable no-reference image- and video-quality metrics.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Universal perturbation attack on differ- entiable no-reference image- and video-quality metrics

Reference 33

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Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Unresolved cited work

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

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Towards adversarial robustness verification of no- reference image- and video-quality metrics

Reference 35

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Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Unresolved cited work

Reference 36

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This paper cites Applicability limitations of differentiable full-reference image-quality.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Applicability limitations of differentiable full-reference image-quality

Reference 37

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This paper cites Unveiling the limitations of novel image quality metrics.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Unveiling the limitations of novel image quality metrics

Reference 38

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This paper cites Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 39

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This paper cites Mem- net: A persistent memory network for image restoration.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Mem- net: A persistent memory network for image restoration

Reference 40

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This paper cites Ex- ploring clip for assessing the look and feel of images.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Ex- ploring clip for assessing the look and feel of images

Reference 41

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This paper cites Exploring vulnerabilities of no-reference image quality as- sessment models: A query-based black-box method.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Exploring vulnerabilities of no-reference image quality as- sessment models: A query-based black-box method

Reference 42

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This paper cites Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives

Reference 43

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This paper cites Vulnerabilities in video quality assessment models: The challenge of adversarial attacks.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Vulnerabilities in video quality assessment models: The challenge of adversarial attacks

Reference 44

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This paper cites Secure Video Quality Assessment Resisting Adversarial Attacks.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Secure Video Quality Assessment Resisting Adversarial Attacks

Reference 45

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This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 46

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This paper cites Blind image quality assessment using a deep bilinear convolutional neural network.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Blind image quality assessment using a deep bilinear convolutional neural network

Reference 47

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This paper cites Perceptual at- tacks of no-reference image quality models with human-in- the-loop.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Perceptual at- tacks of no-reference image quality models with human-in- the-loop

Reference 48

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This paper cites Convolutional neural networks for image denoising and restoration.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Convolutional neural networks for image denoising and restoration

Reference 49

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This paper cites Hacking VMAF with Video Color and Contrast Distortion.

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment Hacking VMAF with Video Color and Contrast Distortion

Reference 50

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