AP-GAN: Adversarial patch attack on content-based image retrieval systems

Research article (GeoInformatica, 2020) · cited 22× · AI/ML
Press Enter · cited answer in seconds

AP-GAN: Adversarial patch attack on content-based image retrieval systems

Summary

AP-GAN: Adversarial patch attack on content-based image retrieval systems is a scholarly article[1].

Key Facts

  • AP-GAN: Adversarial patch attack on content-based image retrieval systems's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). AP-GAN: Adversarial patch attack on content-based image retrieval systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/ap-gan-adversarial-patch-attack-on-content-based-image-retrieval-systems
MLA “AP-GAN: Adversarial patch attack on content-based image retrieval systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ap-gan-adversarial-patch-attack-on-content-based-image-retrieval-systems.
BibTeX @misc{4ortxyz_ap-gan-adversarial-patch-attack-on-content-based-image-retrieval-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AP-GAN: Adversarial patch attack on content-based image retrieval systems}}, year = {2026}, url = {https://4ort.xyz/entity/ap-gan-adversarial-patch-attack-on-content-based-image-retrieval-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AP-GAN: Adversarial patch attack on content-based image retrieval systems — https://4ort.xyz/entity/ap-gan-adversarial-patch-attack-on-content-based-image-retrieval-systems (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/ap-gan-adversarial-patch-attack-on-content-based-image-retrieval-systems · Last refreshed: