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有關 Stealthy attack on graph recommendation system. 的學術文章 | |
… on large language model based recommendation - Zhang - 8 個引述 … knowledge graph-based recommendation systems … - Wu - 29 個引述 … recommender systems: A survey of poisoning attacks … - Nguyen - 13 個引述 |
Stealthy attack on graph recommendation system
ScienceDirect.com
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由 H Ma 著作2024被引用 1 次 — This paper introduces a novel attack framework named InfoAtk, designed to conduct attacks while ensuring stealthiness.
Stealthy attack on graph recommendation system
OpenReview
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We introduce a poisoning attack method based on a bi-level optimization framework.•We leverage contrastive learning to align item embeddings for stealthiness.• ...
Stealthy attack on graph recommendation system
ACM Digital Library
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ACM Digital Library
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2024年10月18日 — The graph-based recommendation systems achieve significant success, yet they are accompanied by malicious attacks.
Stealthy attack on graph recommendation system - R Discovery
R Discovery
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2024年6月10日 — The graph-based recommendation systems achieve significant success, yet they are accompanied by malicious attacks.
Stealthy attack on graph recommendation system
OUCI
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Stealthy attack on graph recommendation system ... Authors: Hao Ma; Min Gao; Feng Wei; Zongwei Wang; Feng Jiang; Zehua Zhao; Zhengyi Yang. Funders. Chongqing ...
Revision History for Stealthy attack on graph...
OpenReview
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Title: Stealthy attack on graph recommendation system · Authors: Hao Ma, Min Gao, Feng Wei, Zongwei Wang, Feng Jiang, Zehua Zhao, Zhengyi Yang · Venue: Expert ...
Stealthy Attack on Large Language Model based ...
ACL Anthology
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ACL Anthology
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由 J Zhang 著作2024被引用 8 次 — We construct comprehensive experiments on four mainstream LLM-based recommendation models (Geng et al., 2022; Bao et al., 2023a; Li et al., ...
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Stealthy Attack on Large Language Model based ...
arXiv
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An ideal stealthy attack should keep the overall recommendation performance unchanged. ... Poisoning attacks to graph-based recommender systems. Proceedings of ...
Stealthy Attacks Research Articles - R Discovery
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The graph-based recommendation systems achieve significant success, yet they are accompanied by malicious attacks. In most scenes, attackers will inject crafted ...