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.
Nathan Heath,BBC West Investigations，更多细节参见搜狗输入法下载
。heLLoword翻译官方下载是该领域的重要参考
第八十一条 有下列行为之一的，处十日以上十五日以下拘留，并处一千元以上二千元以下罚款：
; PROT_TESTS_PASSED — write back descriptor with Accessed bit set，更多细节参见safew官方版本下载