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    <title>topic Intel SGX and machine learning library in Intel® Software Guard Extensions (Intel® SGX)</title>
    <link>https://community.intel.com/t5/Intel-Software-Guard-Extensions/Intel-SGX-and-machine-learning-library/m-p/1154989#M2686</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;

&lt;P&gt;I was wondering if there exists a machine learning library designed to be run in an enclave. If not is it possible to use popular frameworks like Keras or Tensorflow by using Graphene-sgx ? Or dlib since it is a native C++ library ? Or should I implement my own algorithms ?&lt;/P&gt;

&lt;P&gt;Thanks in advance and have a good day,&lt;/P&gt;

&lt;P&gt;JPablo&lt;/P&gt;</description>
    <pubDate>Fri, 16 Mar 2018 15:48:13 GMT</pubDate>
    <dc:creator>Pablo__Juan</dc:creator>
    <dc:date>2018-03-16T15:48:13Z</dc:date>
    <item>
      <title>Intel SGX and machine learning library</title>
      <link>https://community.intel.com/t5/Intel-Software-Guard-Extensions/Intel-SGX-and-machine-learning-library/m-p/1154989#M2686</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;

&lt;P&gt;I was wondering if there exists a machine learning library designed to be run in an enclave. If not is it possible to use popular frameworks like Keras or Tensorflow by using Graphene-sgx ? Or dlib since it is a native C++ library ? Or should I implement my own algorithms ?&lt;/P&gt;

&lt;P&gt;Thanks in advance and have a good day,&lt;/P&gt;

&lt;P&gt;JPablo&lt;/P&gt;</description>
      <pubDate>Fri, 16 Mar 2018 15:48:13 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Software-Guard-Extensions/Intel-SGX-and-machine-learning-library/m-p/1154989#M2686</guid>
      <dc:creator>Pablo__Juan</dc:creator>
      <dc:date>2018-03-16T15:48:13Z</dc:date>
    </item>
    <item>
      <title>Hi：</title>
      <link>https://community.intel.com/t5/Intel-Software-Guard-Extensions/Intel-SGX-and-machine-learning-library/m-p/1154990#M2687</link>
      <description>&lt;P&gt;Hi：&lt;/P&gt;

&lt;P&gt;You can refer to &lt;A href="https://github.com/baidu/rust-sgx-sdk"&gt;rust sgx &lt;/A&gt;sdk which has a meachine learning library.&lt;/P&gt;

&lt;P&gt;Regards You&lt;/P&gt;</description>
      <pubDate>Mon, 19 Mar 2018 03:46:37 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Software-Guard-Extensions/Intel-SGX-and-machine-learning-library/m-p/1154990#M2687</guid>
      <dc:creator>you_w_</dc:creator>
      <dc:date>2018-03-19T03:46:37Z</dc:date>
    </item>
    <item>
      <title>Update: Today we released</title>
      <link>https://community.intel.com/t5/Intel-Software-Guard-Extensions/Intel-SGX-and-machine-learning-library/m-p/1154991#M2688</link>
      <description>&lt;P&gt;Update: Today we released gbdt-rs at&amp;nbsp;&lt;A href="https://github.com/mesalock-linux/gbdt-rs"&gt;https://github.com/mesalock-linux/gbdt-rs&lt;/A&gt; . It works well in SGX can directly inference by using a model exported by xgboost. Its &lt;A href="https://github.com/baidu/rust-sgx-sdk/blob/master/documents/gbdt.pdf"&gt;paper&lt;/A&gt; is accepted at IEEE S&amp;amp;P 2019&lt;/P&gt;&lt;P&gt;Poster: gbdt-rs: Fast and Trustworthy Gradient Boosting Decision Tree&lt;BR /&gt;Tianyi Li (Peking University); Tongxin Li, Yu Ding, Yulong Zhang, and Tao Wei (Baidu X-Lab); Xinhui Han (Peking University)&lt;/P&gt;</description>
      <pubDate>Wed, 15 May 2019 06:46:22 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Software-Guard-Extensions/Intel-SGX-and-machine-learning-library/m-p/1154991#M2688</guid>
      <dc:creator>yu_d_</dc:creator>
      <dc:date>2019-05-15T06:46:22Z</dc:date>
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