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.
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第十八条 单位违反治安管理的，对其直接负责的主管人员和其他直接责任人员依照本法的规定处罚。其他法律、行政法规对同一行为规定给予单位处罚的，依照其规定处罚。
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"And if that means a fight with the big social media companies, then bring it on," he added.