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<title>Trustworthy and Socially Responsible Machine Learning | Workshop at NeurIPS 2022</title>
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<h1 class="project-name">TSRML <br> Trustworthy and Socially Responsible <br> Machine Learning</h1>
<h2 class="project-tagline">Workshop at <a href="https://neurips.cc/">NeurIPS 2022</a><br> Virtual, December 9, 2022</h2>
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<h1 id="related-workshops">Related Workshops</h1>
<ul>
<li><a href="https://aisec.cc/">Workshop on Artificial Intelligence and Security (CCS 2022)</a></li>
<li><a href="https://sites.google.com/view/advml/Home">4th Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (KDD 2022)</a></li>
<li><a href="https://www.ml-verification.com/">1st Workshop on Formal Verification of Machine Learning (ICML 2022)</a></li>
<li><a href="https://sites.google.com/view/advml/Home/advml-2021">3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (KDD 2021)</a></li>
<li><a href="https://aisecure-workshop.github.io/amlcvpr2021/">Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (CVPR 2021)</a></li>
<li><a href="https://aisecure-workshop.github.io/aml-iclr2021/">Security and Safety in Machine Learning Systems (ICLR 2021)</a></li>
<li><a href="https://iccv21-adv-workshop.github.io/">Adversarial Robustness in the Real World (ICCV 2021)</a></li>
<li><a href="https://trustworthyiclr20.github.io/">Towards Trustworthy ML: Rethinking Security and Privacy for ML (ICLR 2020)</a></li>
<li><a href="https://adv-workshop-2020.github.io/">Adversarial Machine Learning in Computer Vision (CVPR 2020)</a></li>
<li><a href="https://icml2019workshop.github.io/">Security and Privacy of Machine Learning (ICML 2019)</a></li>
<li><a href="https://machine-learning-and-security.github.io/">Machine Learning and Computer Security (NeurIPS 2017)</a></li>
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