Update publications.html

publications.html

@@ -28,7 +28,7 @@
 
     <div class="section-2">
     <h2>2023</h2>
-        <p> <a href="" target="_blank">Training DNNs resilient to adversarial and random bit-flips by learning quantization ranges.</a></p>
+        <p> <a href="">Training DNNs resilient to adversarial and random bit-flips by learning quantization ranges.</a></p>
         <p> K. Chitsaz, G. Mordido, J. David, F. Leduc-Primeau.</p>
         <p> TMLR</p>
         <p> <a href="https://arxiv.org/pdf/2211.11109.pdf" target="_blank">Deep learning on a healthy data diet: Finding important examples for fairness and performance.</a></p>
@@ -80,7 +80,7 @@ <h2>2019</h2>
         <p> NeurIPS 2019 EMC2 workshop</p>
 
     <h2>2018</h2>
-        <p> <a href="" target="_blank">Pseudo-ground-truth for adversarial text generation using reinforcement learning.</a></p>
+        <p> <a href="">Pseudo-ground-truth for adversarial text generation using reinforcement learning.</a></p>
         <p> J. Sauder, X. Che, G. Mordido, H. Yang and C. Meinel.</p>
         <p> NeurIPS 2018 Deep RL workshop</p>
         <p> <a href="https://arxiv.org/pdf/1807.11346.pdf" target="_blank">Dropout-GAN: Learning from a dynamic ensemble of discriminators.</a></p>