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119    <h1 class="post-title"><span class="font-weight-bold">Vinith</span> Suriyakumar</h1>
120    <p class="post-description">MIT EECS, LIDS, IMES, Bridgewater AIA Labs</p>
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123  <article>
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126        <p>I am a fifth year PhD student at MIT EECS where I am advised by <a href="https://www.ashiawilson.com/">Dr. Ashia Wilson</a> and <a href="http://www.marzyehghassemi.com/">Dr. Marzyeh Ghassemi</a>. I’m supported through a fellowship from <a href="https://www.bridgewater.com/">Bridgewater AIA Labs</a>
126 advised by <a href="https://ddkang.github.io/">Dr. Daniel Kang</a> where I work on LLM pretraining and post-training.</p>
127
128<p>Broadly, I’m interested in the privacy, security, and safety of machine learning. I’ve worked on many topics in these areas including differential privacy, auditing, algorithmic fairness, and unlearning.</p>
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130<p><strong>My research focuses on securing internet platforms against malicious behavior enabled by generative AI systems.</strong> I am particularly interested in the safety, security, and governance of open-weight foundation models, with recent work focusing on image-based abuse such as CSAM and NCII generation. Additionally, I focus on addressing safety issues related to cyber misuse, investigating new pretraining algorithms to address dual-use risks. I also investigate security challenges in closed-source systems, including jailbreaking and secure fine-tuning interfaces.</p>
131
132<p>My research advancing the privacy, security and safety of machine learning has received awards at NeurIPS, ICLR, ICML, and FAccT:</p>
133
134<ul>
135  <li>ICML 2022 Spotlight</li>
136  <li>ICML 2023 Oral</li>
137  <li>ICLR 2024 Oral</li>
138  <li>FAccT 2024 Best Paper Award</li>
139  <li>NeurIPS 2025 Spotlight</li>
140  <li>ICML 2026 AI4GOOD Workshop Outstanding Paper Award
141<!-- You can read more about my research agenda and the broad questions I'm interested in [here](FILL IN). --></li>
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159  <h2>news</h2>
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165        <tr>
166          <th scope="row">Jul 2, 2026</th>
167          <td>
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169              I’m excited to announce that I’ll be at ICML 2026 presenting our tutorial on Unlearning Data at Scale and our spotlight at the AI4GOOD workshop for our work on Evaluation Without Generation.
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176          <th scope="row">Dec 2, 2025</th>
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179              I’ll be a Visiting Student Researcher at Stanford with <a href="https://cs.stanford.edu/~sanmi/">Dr. Sanmi Koyejo</a> from February to June 2026.
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186          <th scope="row">Oct 18, 2025</th>
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189              I gave two invited talks recently on open-weight model safety and <a href="/assets/pdf/Bridgewater_Talk.pdf">unlearning</a> at the MITAI Conference and the Bridgewater AIA Distinguished Speaker Series.
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219      <div class="contact-note">Email is the best way to reach me. Feel free to send me a message if anything interests you!
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