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<font size="2" class="">[Apologies for cross-posting - please forward to anyone who might be interested]</font></p>
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<b style="box-sizing: border-box;" class=""><font size="2" class=""><br style="box-sizing: border-box;" class="">
The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)</font></b></p>
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<span class="s1" style="box-sizing: border-box;"><font size="2" class="">Workshop URL<b style="box-sizing: border-box;" class="">: </b><a href="https://ppai21.github.io/" target="_blank" rel="noopener" style="box-sizing: border-box; color: rgb(0, 48, 135); cursor: pointer;" class=""><span class="s2" style="box-sizing: border-box;">https://ppai21.github.io/</span></a></font></span></p>
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<font size="2" class=""><br style="box-sizing: border-box;" class="">
The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. It has profoundly impacted several areas,
including computer vision, natural language processing, and transportation. However, the use of rich data sets also raises significant privacy concerns: They often reveal personal sensitive information that can be exploited, without the knowledge and/or consent
of the involved individuals, for various purposes including monitoring, discrimination, and illegal activities.</font></p>
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The second AAAI <i style="box-sizing: border-box;" class="">Workshop on Privacy-Preserving Artificial Intelligence</i> (PPAI-21) held at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) builds on the success of last year's AAAI PPAI to
provide a platform for researchers, AI practitioners, and policymakers to discuss technical and societal issues and present solutions related to privacy in AI applications. The workshop will focus on both the theoretical and practical challenges related to
the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components, including soliciting contributions about policy, legal issues, and societal impact of privacy in AI.</font></p>
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<font size="2" class="">PPAI-21 will place particular emphasis on: (1) Algorithmic approaches to protect data privacy in the context of learning, optimization, and decision making that raise fundamental challenges for existing technologies; (2) Privacy challenges
created by the governments and tech industry response to the Covid-19 outbreak; (3) Social issues related to tracking, tracing, and surveillance programs; and (4) Algorithms and frameworks to release privacy-preserving benchmarks and data sets.</font></p>
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<b style="box-sizing: border-box;" class=""><font size="2" class=""><br style="box-sizing: border-box;" class="">
Topics</font></b></p>
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<font size="2" class="">The workshop organizers invite paper submissions on the following (and related) topics:</font></p>
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<li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Applications of privacy-preserving AI systems</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Attacks on data privacy</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Differential privacy: theory and applications</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Distributed privacy-preserving algorithms</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Human rights and privacy</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Privacy issues related to the Covid-19 outbreak</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Privacy policies and legal issues</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Privacy preserving optimization and machine learning</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Privacy preserving test cases and benchmarks</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Surveillance and societal issues</font></li></ul>
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<font size="2" class="">Finally, the workshop will welcome papers that describe the release of privacy-preserving <i style="box-sizing: border-box;" class="">benchmarks </i>and <i style="box-sizing: border-box;" class="">data sets </i>that can be used by the
community to solve fundamental problems of interest, including in machine learning and optimization for health systems and urban networks, to mention but a few examples.</font></p>
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<b style="box-sizing: border-box;" class=""><font size="2" class=""><br style="box-sizing: border-box;" class="">
Important Dates</font></b></p>
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<li class="li1" style="color: rgb(32, 34, 37); box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>November 9, 2020 – Submission Deadline</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><font color="#202225" class="">December 15, 2020 <span style="caret-color: rgb(32, 34, 37);" class="">—</span> AAAI Fast Track Submission Deadline
</font><font color="#e32400" class="">[NEW]</font></font></li><li class="li1" style="color: rgb(32, 34, 37); box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>December 15, 2020 – Acceptance Notification</font></li><li class="li1" style="color: rgb(32, 34, 37); box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>February 8 and 9, 2020 – Workshop Date</font></li></ul>
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<b style="box-sizing: border-box;" class=""><font size="2" class="">Format</font></b></p>
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<font size="2" class="">The workshop will be a one-day and a half meeting. The first session (half-day) will be dedicated to privacy challenges, particularly those risen by the Covid-19 pandemic tracing and tracking policy programs. The second, day-long, session
will be dedicated to the workshop technical content about privacy-preserving AI. The workshop will include a number of (possibly parallel) technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering
collaborations, multiple invited speakers covering crucial challenges for the field of privacy-preserving AI applications, including policy and societal impacts, a number of tutorial talks, and will conclude with a panel discussion.</font></p>
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<b style="box-sizing: border-box;" class=""><font size="2" class=""><br style="box-sizing: border-box;" class="">
Attendance</font></b></p>
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<font size="2" class="">Attendance is open to all. At least one author of each accepted submission must be present at the workshop.</font></p>
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<span class="s1" style="box-sizing: border-box;"><font size="2" class=""><b style="box-sizing: border-box;" class="">Submission</b><br style="box-sizing: border-box;" class="">
Submission URL: <a href="https://cmt3.research.microsoft.com/PPAI2021" target="_blank" rel="noopener" style="box-sizing: border-box; color: rgb(0, 48, 135); cursor: pointer;" class=""><span class="s2" style="box-sizing: border-box;">https://cmt3.research.microsoft.com/PPAI2021</span></a></font></span></p>
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<font size="2" class="">Submissions of technical papers can be up to 7 pages excluding references and appendices. Short or position papers of up to 4 pages are also welcome. All papers must be submitted in PDF format, using the AAAI-21 author kit (see the workshop
website for more details).</font></p>
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<font size="2" color="#e32400" class="">[NEW] </font><font size="2" class=""><b class="">AAAI Fast Track (Rejected AAAI Papers)</b></font></div>
<span class=""><font size="2" class="">Rejected AAAI papers with *average* scores of at least 4.5 may be asubmitted directly to PPAI along with previous reviews. These submissions may go through a light review process or accepted if the provided reviews are
judged to meet the workshop standard.<br class="">
</font></span><span class=""><br class="">
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<b style="box-sizing: border-box;" class=""><font size="2" class="">Confirmed Invited Speakers</font></b></p>
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<li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>John M. Abowd (US Census Bureau)</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Ashwin Machanavajjhala<b style="box-sizing: border-box;" class=""> </b>(Duke University)</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Nicolas Papernot (University of Toronto)</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Reza Shokri (National University of Singapore)</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Steven Wu (Carnegie Mellon University)</font></li></ul>
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<b style="box-sizing: border-box;" class=""><font size="2" class=""><br class="">
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<b style="box-sizing: border-box;" class=""><font size="2" class="">Tutorials</font></b></p>
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<li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Brendan McMahan (Google), Kallista Bonawitz (Google), Peter Kairouz (Google)<br style="box-sizing: border-box;" class="">
<i style="box-sizing: border-box;" class="">Tutorial on Privacy-Preserving Federated Learning</i></font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span><span class="s4" style="box-sizing: border-box;">Audra McMillan</span><br style="box-sizing: border-box;" class="">
<i style="box-sizing: border-box;" class="">Tutorial on Recent advances in Differential Privacy</i></font></li></ul>
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<font size="2" class=""><b style="box-sizing: border-box;" class=""></b></font></p>
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<b style="box-sizing: border-box;" class=""><font size="2" class="">Workshop Chairs</font></b></p>
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<li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Ferdinando Fioretto (Syracuse University)</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Pascal Van Hentenryck (Georgia Institute of Technology)</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Richard W. Evans (Rice University)</font></li></ul>
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<b style="box-sizing: border-box;" class=""><font size="2" class=""><br class="">
</font></b></p>
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<b style="box-sizing: border-box;" class=""><font size="2" class="">Workshop Committee</font></b></p>
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<li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Aws Albarghouthi - University of Wisconsin-Madison</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Carsten Baum - Aarhus University</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Aurélien Bellet - INRIA</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Mark Bun - Boston University</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Albert Cheu - Northeastern University</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Graham Cormode - University of Warwick</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Rachel Cummings - Georgia Tech</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Xi He - University of Waterloo</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Antti Honkela -University of Helsinki</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Mohamed Ali Kaafar - Macquarie University and CSIRO-Data61</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Kim Laine - Microsoft Research</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Olga Ohrimenko - The University of Melbourne</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Catuscia Palamidessi - Laboratoire d'informatique de l'École polytechnique</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Marco Romanelli - INRIA</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Reza Shokri - NUS</font></li><li class="li1" style="box-sizing: border-box;"><font size="2" class=""><span class="s3" style="box-sizing: border-box;"></span>Vikrant Singhal - Northeastern University</font></li></ul>
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