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Dear Colleagues,</div>
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We are excited to invite you and your colleagues to participate in the <b>Red Teaming Competition at SaTML'25</b>, titled "<b>Inference Attacks Against Document VQA</b>", which focuses on privacy vulnerabilities in Document Visual Question Answering (DocVQA)
models. The deadlines have been extended! </div>
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This competition presents a unique opportunity to explore critical privacy concerns in AI, specifically through the development of membership inference and reconstruction attacks tailored to DocVQA models.</div>
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We would greatly appreciate it if you could share this announcement with anyone in your network who might be interested in participating.<br>
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More details, including competition rules and registration, can be found on the official website:
<span style="color: rgb(17, 85, 204);"><a href="https://benchmarks.elsa-ai.eu/?ch=2&com=introduction" id="OWA247361a8-be15-07d1-1e60-f63554e1501d" class="OWAAutoLink" style="color: rgb(17, 85, 204);">https://benchmarks.elsa-ai.eu/?ch=2&com=introduction</a></span>.<br>
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Updated Deadlines:</div>
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<b>Submission Deadline</b>: March 7, 2025</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); align-self: start; text-indent: 0px;">
<b>Announcement of Winning Teams</b>: March 17, 2025</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); align-self: start; text-indent: 0px;">
<b>Competition Track</b>: April 9-11, 2025 (during SaTML’25)</li></ul>
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For any inquiries or further information, please do not hesitate to contact us at info_pfl@cvc.uab.cat</div>
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We look forward to your participation and the innovative solutions you will bring to this critical area of AI privacy research.<br>
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The competition is organized by the<span style="color: rgb(17, 85, 204);"><a href="https://elsa-ai.eu/" id="OWA164f64a2-29c6-ff70-2663-46471cc8aecd" class="OWAAutoLink" style="color: rgb(17, 85, 204);"> European Lighthouse on Secure and Safe AI (ELSA)</a></span>.<br>
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Kind regards,</div>
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<span style="background-color: rgb(255, 255, 255);"><b>Dr. Mohamed Ali Souibgui</b></span></div>
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Post Doctoral Researcher</div>
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+34 691 61 74 08 | msouibgui@cvc.uab.cat</div>
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Computer Vision Center</div>
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Campus UAB, Edifici O, s/n </div>
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