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面向联邦学习中高效且可验证的恶意攻击恢复

💡 原文中文，约200字，阅读约需1分钟。

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内容提要

本文研究了联合学习中的毒化攻击，分类了威胁模型和攻击形式，并关注非定向毒化攻击及防御机制。实验证明，即使是简单低成本的防护措施，联合学习也很强健。同时，提出了新型的数据和模型毒化攻击，并探究了在简单防御机制下的攻击效果。

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