Frequency-Tuned Universal Adversarial Attacks on Texture Recognition

Research article (IEEE Transactions on Image Processing, 2022) · cited 24× · AI/ML
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Frequency-Tuned Universal Adversarial Attacks on Texture Recognition

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Frequency-Tuned Universal Adversarial Attacks on Texture Recognition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Frequency-Tuned Universal Adversarial Attacks on Texture Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/frequency-tuned-universal-adversarial-attacks-on-texture-recognition
MLA “Frequency-Tuned Universal Adversarial Attacks on Texture Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/frequency-tuned-universal-adversarial-attacks-on-texture-recognition.
BibTeX @misc{4ortxyz_frequency-tuned-universal-adversarial-attacks-on-texture-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Frequency-Tuned Universal Adversarial Attacks on Texture Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/frequency-tuned-universal-adversarial-attacks-on-texture-recognition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Frequency-Tuned Universal Adversarial Attacks on Texture Recognition — https://4ort.xyz/entity/frequency-tuned-universal-adversarial-attacks-on-texture-recognition (retrieved 2026-05-24)

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