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microsoft · Nov 22, 2024 · d415c51 · d415c51
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diff --git a/_sources/getting_started/examples.rst.txt b/_sources/getting_started/examples.rst.txt
@@ -24,7 +24,7 @@ Coming soon!
 .. _Cat dataset: https://www.kaggle.com/datasets/fjxmlzn/cat-cookie-doudou
 .. _CIFAR10 dataset: https://www.cs.toronto.edu/~kriz/cifar.html
 .. _Camelyon17 dataset: https://camelyon17.grand-challenge.org/
-.. _CIFAR10 example: https://github.com/microsoft/DPSDA/example/image/cifar10.py
-.. _Camelyon17 example: https://github.com/microsoft/DPSDA/example/image/camelyon17.py
-.. _Cat example: https://github.com/microsoft/DPSDA/example/image/cat.py
+.. _CIFAR10 example: https://github.com/microsoft/DPSDA/blob/main/example/image/cifar10.py
+.. _Camelyon17 example: https://github.com/microsoft/DPSDA/blob/main/example/image/camelyon17.py
+.. _Cat example: https://github.com/microsoft/DPSDA/blob/main/example/image/cat.py
 .. _paper: https://arxiv.org/abs/2305.15560
diff --git a/getting_started/examples.html b/getting_started/examples.html
@@ -90,9 +90,9 @@ <h1>Examples<a class="headerlink" href="#examples" title="Permalink to this head
 <h2>Images<a class="headerlink" href="#images" title="Permalink to this heading"></a></h2>
 <p>These examples follow the experimental settings in the paper <a class="reference external" href="https://arxiv.org/abs/2305.15560">Differentially Private Synthetic Data via Foundation Model APIs 1: Images (ICLR 2024)</a>.</p>
 <ul class="simple">
-<li><p><strong>CIFAR10</strong>: <a class="reference external" href="https://github.com/microsoft/DPSDA/example/image/cifar10.py">This example</a> shows how to generate differentially private synthetic images for the <a class="reference external" href="https://www.cs.toronto.edu/~kriz/cifar.html">CIFAR10 dataset</a> using the APIs from a pre-trained <a class="reference external" href="https://github.com/openai/improved-diffusion">ImageNet diffusion model</a>.</p></li>
-<li><p><strong>Camelyon17</strong>: <a class="reference external" href="https://github.com/microsoft/DPSDA/example/image/camelyon17.py">This example</a> shows how to generate differentially private synthetic images for the <a class="reference external" href="https://camelyon17.grand-challenge.org/">Camelyon17 dataset</a> using the APIs from a pre-trained <a class="reference external" href="https://github.com/openai/improved-diffusion">ImageNet diffusion model</a>.</p></li>
-<li><p><strong>Cat</strong>: <a class="reference external" href="https://github.com/microsoft/DPSDA/example/image/cat.py">This example</a> shows how to generate differentially private synthetic images of the <a class="reference external" href="https://www.kaggle.com/datasets/fjxmlzn/cat-cookie-doudou">Cat dataset</a> using the APIs from <a class="reference external" href="https://huggingface.co/CompVis/stable-diffusion-v1-4">Stable Diffusion</a>.</p></li>
+<li><p><strong>CIFAR10</strong>: <a class="reference external" href="https://github.com/microsoft/DPSDA/blob/main/example/image/cifar10.py">This example</a> shows how to generate differentially private synthetic images for the <a class="reference external" href="https://www.cs.toronto.edu/~kriz/cifar.html">CIFAR10 dataset</a> using the APIs from a pre-trained <a class="reference external" href="https://github.com/openai/improved-diffusion">ImageNet diffusion model</a>.</p></li>
+<li><p><strong>Camelyon17</strong>: <a class="reference external" href="https://github.com/microsoft/DPSDA/blob/main/example/image/camelyon17.py">This example</a> shows how to generate differentially private synthetic images for the <a class="reference external" href="https://camelyon17.grand-challenge.org/">Camelyon17 dataset</a> using the APIs from a pre-trained <a class="reference external" href="https://github.com/openai/improved-diffusion">ImageNet diffusion model</a>.</p></li>
+<li><p><strong>Cat</strong>: <a class="reference external" href="https://github.com/microsoft/DPSDA/blob/main/example/image/cat.py">This example</a> shows how to generate differentially private synthetic images of the <a class="reference external" href="https://www.kaggle.com/datasets/fjxmlzn/cat-cookie-doudou">Cat dataset</a> using the APIs from <a class="reference external" href="https://huggingface.co/CompVis/stable-diffusion-v1-4">Stable Diffusion</a>.</p></li>
 </ul>
 </section>
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