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网传的漏洞演示视频,需要用户主动要求 AI 查看恶意邮件或恶意短信,才会触发攻击。如果没有用户指令,AI 并不会去自动执行高风险操作。针对视频演示的攻击方法,豆包手机助手已升级了相应的防护措施。

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GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.