AAAI-22 Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) - submission deadline extended

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Ferdinando Fioretto

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Nov 12, 2021, 12:10:14 PM11/12/21
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[Apologies for cross-posting. Please feel free to forward this message to whoever may be interested.]

The AAAI-22 Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) 
https://aaai-ppai22.github.io/

[submission deadline extended  to November 23, 2021 (see below)]

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. 

The third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) held at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) builds on the success of previous years AAAI PPAI-20 and AAAI PPAI-21 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.

PPAI-22 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) Social issues related to tracking, tracing, and surveillance programs; and (3) Algorithms and frameworks to release privacy-preserving benchmarks and data sets. 

Topics
The workshop organizers invite paper submissions on the following (and related) topics:

  • Applications of privacy-preserving AI systems
  • Attacks on data privacy
  • Differential privacy: theory and applications
  • Distributed privacy-preserving algorithms
  • Human rights and privacy
  • Privacy issues related to the Covid-19 outbreak
  • Privacy policies and legal issues
  • Privacy preserving optimization and machine learning
  • Privacy preserving test cases and benchmarks
  • Surveillance and societal issues

Finally, the workshop will welcome papers that describe the release of privacy-preserving benchmarks and data sets 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. 

Important Dates

  • November 23, 2021 – Submission Deadline [EXTENDED]
  • December 5, 2021 – Fast Track Submission Deadline
  • January 5, 2021 – Acceptance Notification [EXTENDED]
  • February 28 or March 1, 2022 – Workshop Date

Format
The workshop will be a one-day meeting. The workshop will include a number of technical sessions, a 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.

Attendance
Attendance is open to all. At least one author of each accepted submission must be present at the workshop.

Submission
Submission URL:   https://cmt3.research.microsoft.com/PPAI2022

  • Technical Papers: Full-length research papers of up to 7 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference.
  • Short Papers: Position or short papers of up to 4 pages (excluding references and appendices) that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest.
  • AAAI/NeurIPS Fast Track (Rejected AAAI or NeurIPS papers) Rejected AAAI papers with *average* scores of at least 4.5 may be submitted 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.
All papers must be submitted in PDF format, using the AAAI-22 author kit. Submissions should include the name(s), affiliations, and email addresses of all authors. Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. Each submission will be thoroughly reviewed by at least two program committee members.

Invited Speakers 

Tutorials

Workshop Chairs


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