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<!DOCTYPE html>
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<head>
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<title>Secure and Safe Autonomous Driving (SSAD) | Workshop and Challenge at CVPR 2023</title>
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<header class="page-header" role="banner">
<h1 class="project-name">Secure and Safe Autonomous Driving (SSAD) Workshop and Challenge</h1>
<h2 class="project-tagline">Workshop at <a href="https://cvpr2023.thecvf.com/">CVPR 2023</a><br>Vancouver, Canada, June 19, 2023</h2>
<a href="/SSAD2023/" class="btn">Home</a>
<a href="/SSAD2023/cfp" class="btn">Call for Papers</a>
<a href="/SSAD2023/papers" class="btn">Accepted Papers</a>
<a href="/SSAD2023/challenge" class="btn">Challenge</a>
<a href="/SSAD2023/schedule" class="btn">Tentative Schedule</a>
<a href="/SSAD2023/speakers" class="btn">Speakers</a>
<!-- <a href="/SSAD2023/sponsors" class="btn">Sponsors</a>-->
<!-- <a href="/organizers" class="btn">Organizers</a>-->
<!-- <a href="/committee" class="btn">Program Committee</a>-->
<!-- <a href="/related" class="btn">Related Workshops</a>-->
</header>
<main id="content" class="main-content" role="main">
<h1 id="overview">Call for Papers</h1>
<style>
.foo {
table-layout: fixed;
width: 100%;
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<!--<p><b>We are happy to announce that we will select one best paper award with a 500 USD cash prize, and two runner-up awards with 200 USD cash prize!</b></p>-->
<p>We invite submissions that have at most <b>6 pages</b> with unlimited bibliography and appendix.</p>
<p>Topics include but are not limited to:</p>
<ul>
<li>Robust perception algorithms against adversarial attack</li>
<li>Physical attack and defense to autonomous driving systems</li>
<li>Data poisoning and defense to autonomous driving systems</li>
<li>Robust decision-making algorithms, e.g., Robust RL</li>
<li>Safe decision-making and control algorithms, e.g., Safe RL</li>
<li>Trajectory and behavior prediction with uncertainty</li>
<li>Causal discovery and counterfactual analysis of traffic scenarios</li>
<li>Behavior modeling of pedestrian and vehicle</li>
<li>Safety verification and certification</li>
<li>Neuro-symbolic approaches in autonomous driving</li>
<li>Knowledge representation and reasoning in autonomous driving</li>
<li>Autonomous driving datasets, simulation, evaluations, and metrics</li>
</ul>
Reviewing will be performed in <b>double-blind</b>, with criteria include:
<ul>
<li>Quality of the methodology and experiments</li>
<li>Novelty</li>
<li>Relevance</li>
<li>Societal impacts</li>
</ul>
<h2>Important Dates</h2>
<table class="foo">
<tr>
<td width="50%"><b>Submissions Open</b></td>
<td width="50%">Mar 01, 2023 11:59PM AoE</td>
</tr>
<tr>
<td width="50%"><b>Submission Deadline</b></td>
<td width="50%">Apr 23, 2023 11:59PM AoE</td>
</tr>
<tr>
<td width="50%"><b>Author Notification</b></td>
<td width="50%">May 12, 2023 11:59PM AoE</td>
</tr>
<tr>
<td width="50%"><b>Camera Ready and Video Submission</b></td>
<td width="50%">May 20, 2023 11:59PM AoE</td>
</tr>
<!-- <tr>-->
<!-- <td width="50%"><b>Workshop Dates</b></td>-->
<!-- <td width="50%">Dec 03, 2022</td>-->
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</table>
<h2>Author Instructions</h2>
Papers should be submitted through <a href="https://openreview.net/group?id=thecvf.com/CVPR/2023/Workshop/SSAD">OpenReview</a>.
<h3>Submission Format</h3>
Submitted papers are recommended to have at most <b>6 pages</b> with unlimited bibliography and appendix, using <a href="https://media.icml.cc/Conferences/CVPR2023/cvpr2023-author_kit-v1_1-1.zip">CVPR template</a>.
Accepted papers will be hosted on this workshop website but will not be archived in the CVPRW proceedings and can be submitted to other workshops, conferences or journals if their submission policy allows.
<h3>Dual submission policy</h3>
We allow dual submission with other workshops or conferences. You can also submit papers that have some overlaps with your recently published papers. However, we <i>disallow</i> papers that are presented at the CVPR main conference as well as other machine learning conferences.
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If you have any questions, please contact Chejian Xu via <a href="mailto:[email protected]">[email protected]</a>.<br>
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