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<!doctype html>
<html lang="en">
<head>
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<meta charset="utf-8">
<meta name="description" content="Alkaet's Homepage">
<meta name="author" content="Adelin Travers">
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<title>Alkaet - AI, ML, Security & Risk </title>
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<h1 style="font-size:60px;"><small>Welcome to my homepage</small></h1>
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<img src="ressources/AT.png" class="rounded img-fluid" alt="My face">
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<h1>Adelin Travers</h1>
<p>I'm an engineer working on AI, ML and information security risk.</p>
<p>In the past, I've been a Principal Security Engineer in the Machine Learning practice at <a href="https://www.trailofbits.com/", target="_blank">Trail of Bits</a>. I've been a consultant for <a href="https://www.verizon.com/business/products/security/", target="_blank">Verizon Japan</a> working on global GRC & Penetration test engagements. I've spent some years at a Japanese financial firm where I developed trading algorithms for a short time before leading the creation of an in-house penetration testing team. I've also worked as a security auditor for a Big 4 consulting firm. I hold various <a href="#Certs">certifications</a>.</p>
<p>Until September 2021, I was a 2<sup>nd</sup> year PhD Student at the <a href="https://www.utoronto.ca/" target="_blank">University of Toronto</a> and the <a href="https://vectorinstitute.ai/" target="_blank"> Vector Institute</a> co-supervised by <a href="https://www.papernot.fr/" target="_blank">Prof. Nicolas Papernot</a> and <a href="https://security.csl.toronto.edu/" target="_blank">Prof. David Lie</a>. I obtained my MSc. in Computer Science from the <a href="http://www.cs.ox.ac.uk/" target="_blank">University of Oxford</a> under the supervision of <a href="http://www.cs.ox.ac.uk/people/samson.abramsky/" target="_blank">Prof. Samson Abramsky</a> and my <em>Diplôme d'Ingénieur</em> from <a href="https://www.telecom-paris.fr/en/home" target="_blank"> Télécom ParisTech</a>.</p>
<h2>Research</h2>
<p> I'm interested in topics at the intersection of <abbr title="Machine Learning">ML</abbr>, <abbr title="Artificial Intelligence">AI</abbr>, and security. I'm especially interested in offensive, audit, and forensics methods as drivers of interpretable safety-critical AI. You can find my academic publications <a href="#Publications">here</a> and my contributions to AI Security Policy and industry standards <a href="#Thoughtleadership">here.</a></p>
<h4>Contact</h4>
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<h3 id="Publications">Academic publications & industry blogposts</h3>
<a href="https://blog.trailofbits.com/2024/06/14/pcc-bold-step-forward-not-without-flaws/" target="_blank">PCC: Bold step forward, not without flaws.</a>
<p><i><b>Adelin Travers</b>.</i> Trail of Bits blog (2024).</p>
<a href="https://blog.trailofbits.com/2024/02/28/our-response-to-the-us-armys-rfi-on-developing-aibom-tools-2/" target="_blank">Our response to the US Army’s RFI on developing AIBOM tools.</a>
<p><i>Michael Brown, <b>Adelin Travers</b>.</i> Trail of Bits blog (2024).</p>
<a href="https://arxiv.org/abs/2109.15112" target="_blank">Interpretability in Safety-Critical Financial Trading Systems.</a>
<p><i>Gabriel Deza, <b>Adelin Travers</b>, Colin Rowat, Nicolas Papernot.</i> arXiv preprint.</p>
<a href="https://arxiv.org/abs/2109.10870" target="_blank">SoK: Machine Learning Governance.</a>
<p><i>Varun Chandrasekaran*, Hengrui Jia*, Anvith Thudi*, <b>Adelin Travers*</b>, Mohammad Yaghini*, Nicolas Papernot.</i> arXiv preprint.</p>
<a href="https://arxiv.org/abs/2108.02010" target="_blank">On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples.</a>
<p><i><b>Adelin Travers*</b>, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot.</i> arXiv preprint.</p>
<a href="https://arxiv.org/abs/1912.03817" target="_blank">Machine Unlearning.</a>
<p><i>Lucas Bourtoule*, Varun Chandrasekaran*, Christopher Choquette-Choo*, Hengrui Jia*, </i><b>Adelin Travers*</b>
<i>, Baiwu Zhang*, David Lie, Nicolas Papernot</i>. Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA. (2021)</p>
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<h3 id="Thoughtleadership"> AI Security Thought Leadership and Policy</h3>
<a href="https://www.nist.gov/system/files/documents/2022/11/16/Adelin%20Travers.pdf" target="_blank">Comments on the 2nd draft of the NIST Artificial Intelligence Risk Management Framework (AI RMF)</a>
<p><i><b>Adelin Travers</b>.</i></p>
<a href="https://docs.google.com/document/d/1IbAT3oy3A6OfSfpVG3bPof35UO81anV6OBMq3K8haTU/edit?usp=sharing" target="_blank">AI Village (AIV) Comments on the NIST concept paper on Artificial Intelligence Risk Management Framework (AI RMF)</a>
<p><i><b>Adelin Travers</b>, on behalf of the AI Village.</i></p>
<a href="https://www.nist.gov/system/files/documents/2021/08/19/ai-rmf-rfi-0019-attachment.pdf" target="_blank">AI Village (AIV) Response to the NIST RFI on Artificial Intelligence
Risk Management Framework (AI RMF)</a>
<p><i><b>Adelin Travers</b>, Anita Nikolich, Abhishek Gupta, Stella Biderman, Brian Pendleton, Erick Galinkin, Brian Martin, John Irwin, Anusha Ghosh.</i></p>
<h3 id="Talks & Panels"> Talks & Panels</h3>
<a href="https://github.com/trailofbits/publications/blob/master/presentations/Holistic%20ML%20Threat%20Models/Tokyo%20AI%20event_%20%E7%B7%8F%E5%90%88%E7%9A%84%E3%81%AA%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E3%81%AE%E8%84%85%E5%A8%81%E3%83%A2%E3%83%87%E3%83%AA%E3%83%B3%E3%82%B0.pdf" target="_blank">総合的な機械学習の脅威モデリング</a>
<p><i><b>Adelin Travers</b>.</i> LLMリスクとセキュリティ：安全性と信頼性の確保への道 by Tokyo AI (2024).</p>
<a href="https://github.com/trailofbits/publications/tree/master/presentations/Holistic%20ML%20Threat%20Models" target="_blank">Holistic ML Threat Models, AI Village at BSidesSF & Graph the Planet 2024.</a>
<p><i><b>Adelin Travers</b>.</i></p>
<a href="https://www.louie.ai/gen-ai-graph-the-planet" target="_blank">Panel: Securing genAI deployments, Graph the Planet 2024</a>
<p><i>Sven Cattell, Claude Mandy, <b>Adelin Travers</b>, Bo Li.</i></p>
<a>AI vulnerability research panel, CERT Vendor meeting 2024.</a>
<p><i><b>Adelin Travers</b>, Tyler Sorensen, Kasimir Schulz.</i></p>
<h3 id="Certs">Professional certifications</h3>
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