Methods › Computer Vision › Adversarial Image Data Augmentation › Adversarial Color Enhancement
Adversarial Color Enhancement
Introduced by Zhengyu Zhao et al. in Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Adversarial Color Enhancement is an approach to generating unrestricted adversarial images by optimizing a color filter via gradient descent.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
-
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks 5 Oct 2022 · 1 repository · arXiv:2210.02041Syntology ran 10 of 12 samples · 2 unverified · 12 pointer-only (licence)
-
Adversarial Image Color Transformations in Explicit Color Filter Space 12 Nov 2020 · 1 repository · arXiv:2011.06690
-
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter 3 Feb 2020 · 1 repository · arXiv:2002.01008
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Adversarial Attack | 1 |
| Adversarial Robustness | 1 |
| Image Enhancement | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections