Research on the Privacy Security of Face Recognition Technology

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset</td><td class="align_center">DPSGD (%)</td><td class="align_center">PATE (%)</td><td class="align_center">Our method (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">LFW</td><td class="align_center">97.5</td><td class="align_center">98.0</td><td class="align_center">98.5</td></tr><tr><td class="align_left">YTF</td><td class="align_center">95.1</td><td class="align_center">95.7</td><td class="align_center">96.2</td></tr><tr><td class="align_left">SFC</td><td class="align_center">96.4</td><td class="align_center">97.2</td><td class="align_center">97.8</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of model accuracy under different methods.</div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Research on the Privacy Security of Face Recognition Technology 