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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Shenbao Yu

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Book Open access Aug 2026

Silencing the Poison: An Unsupervised Granular Ball Defense Approach in Local Smoothing Context for Recommender Systems

The proposed SiPo (Silencing the Poison), a novel framework that shifts the paradigm from node removal to gradient silencing, leverages unsupervised granular ball computing to adaptively capture adversarial topological micro-clusters within the feature space.

Yunmeng Zhao, Jun Shen, Shen-Bao Yu et al. · 0 citations
Book Open access Aug 2026

Silencing the Poison: An Unsupervised Granular Ball Defense Approach in Local Smoothing Context for Recommender Systems

In many advanced recommender systems (e.g., GNN-based), local smoothing mechanisms would distill collaborative signals but could inadvertently amplify targeted data poisoning threats. Existing defenses predominantly relied on rigid binary filtration strategies. However, such structural deletion of suspicious nodes ofte...

Yunmeng Zhao, Jun Shen, Shenbao Yu et al. · 0 citations

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