Differential Privacy Principal Component Analysis for Support Vector Machines

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Data set</td><td class="align_center">Samples <i>n</i></td><td class="align_center">Attributes <i>d</i></td><td class="align_center">Target dimension <i>k</i></td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Sensorless</td><td class="align_center">58509</td><td class="align_center">49</td><td class="align_center">14</td></tr><tr><td class="align_left">Covtype</td><td class="align_center">580000</td><td class="align_center">54</td><td class="align_center">6</td></tr><tr><td class="align_left">Musk</td><td class="align_center">6598</td><td class="align_center">166</td><td class="align_center">20</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Security and Communication Networks

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Table 3

Table 3: Differential Privacy Principal Component Analysis for Support Vector Machines 