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English(EN) 🤩 Our second paper at EKAW 2026! 👉 “When Confidence Turns Against You: Exploiting Link Prediction Scores for Data Poisoning” by Adel Memariani, Arnab Sharma, Mi

研究人员在 EKAW 2026 发表数据投毒论文

研究人员 Adel Memariani 和 Arnab Sharma 在 EKAW 2026 发表了他们的论文《当置信度反噬:利用链接预测分数进行数据投毒》。该研究由 Michael Röder 和 Axel Ngonga 共同撰写,专注于利用链接预测分数的数据投毒技术。 AI

影响 这项研究有助于理解知识图谱和AI模型中的漏洞,可能为未来的安全措施提供信息。

排序理由 该集群报告了在会议上发表学术论文的情况。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

研究人员在 EKAW 2026 发表数据投毒论文

本文如何被排名

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群报告了在会议上发表学术论文的情况。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · diceresearch ·

    🤩 我们的第二篇论文在 EKAW 2026 发表!👉 “当置信度反噬:利用链接预测分数进行数据投毒” 作者:Adel Memariani, Arnab Sharma, Mi

    🤩 Our second paper at EKAW 2026! 👉 “When Confidence Turns Against You: Exploiting Link Prediction Scores for Data Poisoning” by Adel Memariani, Arnab Sharma, Michael Röder & Axel Ngonga was presented by Adel in Torino. 📖 https://www. bibsonomy.org/bibtex/0940ba842 7e4251a294fe2b8…