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tongwu2020 · May 30, 2024 · 9b5f87a · 9b5f87a
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@@ -156,16 +156,6 @@ <h2 class="mb-3">Selected Publication</h2>
 
           </p>
         </li>
-          <li  class="lead extra-margin-li resume-content">
-            <p class = "lead mb-0"><b style="color: black; font-size: 110% ">Uncovering Adversarial Risks of Test-Time Adaptation</b> 
-            <br><b>Tong Wu</b>, <a href="https://scholar.google.com/citations?user=haBpKDQAAAAJ&hl=en"> Feiran Jia</a>, <a href="https://unispac.github.io/"> Xiangyu Qi</a>, <a href="https://tianhaowang.netlify.app/"> Jiachen T. Wang</a>, <a href="https://vsehwag.github.io/"> Vikash Sehwag</a>, <a href="https://smahloujifar.github.io/"> Saeed Mahloujifar</a>, <a href="https://www.princeton.edu/~pmittal/"> Prateek Mittal</a> 
-            <br> ICML 2023  &ensp; &ensp;
-            <a href="https://arxiv.org/abs/2301.12576">[Paper]</a> 
-            <a href="tta_risk/index.html">[Project]</a> 
-            <a href="https://github.com/inspire-group/tta_risk">[Code]</a> 
-          </p>
-          </li>
-
           <li  class="lead extra-margin-li resume-content">
             <p class = "lead mb-0"><b style="color: black; font-size: 110% ">Defending against Physically Realizable Attacks on Image Classification</b> 
             <br><b>Tong Wu</b>, <a href="https://liang-tong.me/">Liang Tong</a>, <a href=" http://vorobeychik.com/"> Yevgeniy Vorobeychik </a> 
@@ -210,6 +200,16 @@ <h2 class="mb-3">Publication</h2>
           </p>
       </li>
 
+      <li  class="lead extra-margin-li resume-content">
+        <p class = "lead mb-0"><b style="color: black; font-size: 110% ">Uncovering Adversarial Risks of Test-Time Adaptation</b> 
+        <br><b>Tong Wu</b>, <a href="https://scholar.google.com/citations?user=haBpKDQAAAAJ&hl=en"> Feiran Jia</a>, <a href="https://unispac.github.io/"> Xiangyu Qi</a>, <a href="https://tianhaowang.netlify.app/"> Jiachen T. Wang</a>, <a href="https://vsehwag.github.io/"> Vikash Sehwag</a>, <a href="https://smahloujifar.github.io/"> Saeed Mahloujifar</a>, <a href="https://www.princeton.edu/~pmittal/"> Prateek Mittal</a> 
+        <br> ICML 2023  &ensp; &ensp;
+        <a href="https://arxiv.org/abs/2301.12576">[Paper]</a> 
+        <a href="tta_risk/index.html">[Project]</a> 
+        <a href="https://github.com/inspire-group/tta_risk">[Code]</a> 
+      </p>
+      </li>
+
           <li  class="lead extra-margin-li resume-content">
             <p class = "lead mb-0"><b style="color: black; font-size: 110% ">Towards A Proactive ML Approach for Detecting Backdoor Poison Samples</b> 
             <br><a href="https://unispac.github.io/"> Xiangyu Qi</a>,<a href="https://tinghaoxie.com/"> Tinghao Xie</a>,<a href="https://tianhaowang.netlify.app/"> Jiachen T. Wang</a>, <b  >Tong Wu</b>, <a href="https://smahloujifar.github.io/"> Saeed Mahloujifar</a>, <a href="https://www.princeton.edu/~pmittal/"> Prateek Mittal</a>