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Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection

Research article (IEEE Transactions on Information Forensics and Security, 2023) · cited 10× · AI/ML
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Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection

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Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection is a scholarly article[1].

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  • Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/toward-adversarially-robust-recommendation-from-adaptive-fraudster-detection
MLA “Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/toward-adversarially-robust-recommendation-from-adaptive-fraudster-detection.
BibTeX @misc{4ortxyz_toward-adversarially-robust-recommendation-from-adaptive-fraudster-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection}}, year = {2026}, url = {https://4ort.xyz/entity/toward-adversarially-robust-recommendation-from-adaptive-fraudster-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection — https://4ort.xyz/entity/toward-adversarially-robust-recommendation-from-adaptive-fraudster-detection (retrieved 2026-05-24)

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