Sixth AAAI Workshop on Privacy-Preserving Artificial Intelligence

Scope and Topics

The rise of machine learning, optimization, and Large Language Models (LLMs) has created new paradigms for computing, but it has also ushered in complex privacy challenges. The intersection of AI and privacy is not merely a technical dilemma but a societal concern that demands careful considerations.
In its sixth edition, the AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-25) will 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. The emphasis will be placed on: Policy considerations and legal frameworks for privacy; Broader implications of privacy in LLMs; and The societal impact of privacy within AI.

Topics

We invite three categories of contributions: technical (research) papers, position papers, and systems descriptions on these subjects:

Differential privacy: Applications
Differential privacy: Theory
Contextual integrity
Attacks on data confidentiality
Privacy and Fairness interplay
Legal frameworks and privacy policies
Privacy-centric machine learning and optimization
Benchmarking: test cases and standards
Ethical considerations of LLMs on users' privacy
The impact of LLMs on personal privacy in various applications like chatbots, recommendation systems, etc.
Case studies on real-world privacy challenges and solutions in deploying LLMs
Privacy-aware evaluation metrics and benchmarks specifically for LLMs
Interdisciplinary perspectives on AI applications, including sociological and economic views on privacy
Evaluating models to audit and/or minimize data leakages

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.

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.

Important Dates

November 29, 2024 – Submission Deadline
December 11, 2024 – NeurIPS/AAAI Fast Track Submission Deadline
December 15, 2024 – Acceptance Notification
March 3, 2025 – Workshop Date

Attendance

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

Submission Information

Submission URL: https://cmt3.research.microsoft.com/PPAI2025

Submission Types

Technical Papers: Full-length research papers of up to 9 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference.
Extended Abstracts: Position or brief description of initial work (1 page, excluding references and appendices) or the release of privacy-preserving benchmarks and datasets on the topics of interest.

NeurIPS/AAAI Fast Track (Rejected AAAI papers)

Rejected NeurIPS/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 or Word format, using one of the following templates.

Submissions should NOT include the name(s), affiliations, or email addresses of any author. 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.

NeurIPS/AAAI fast track papers are subject to the same page limits of standard submissions. Fast track papers should be accompanied by their reviews, submitted as a supplemental material.

For questions about the submission process, contact the workshop chairs.

PPAI-25 scholarship application

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Registration

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Program

March 3, 2025
All times are in Eastern Standard Time (UTC-5).

Invited Talks

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Roundtable Discussions

Roundtable discussions are informal conversations in which ALL workshop audience is asked to actively participate regarding topics of interest, fostering a collaborative environment for exchanging ideas, experiences, and insights.

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Invited Speakers

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PPAI-25 Panel:

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Code of Conduct

PPAI 2025 is committed to providing an atmosphere that encourages freedom of expression and exchange of ideas. It is the policy of PPAI 2025 that all participants will enjoy a welcoming environment free from unlawful discrimination, harassment, and retaliation.

Harassment will not be tolerated in any form, including but not limited to harassment based on gender, gender identity and expression, sexual orientation, disability, physical appearance, race, age, religion or any other status. Harassment includes the use of abusive, offensive or degrading language, intimidation, stalking, harassing photography or recording, inappropriate physical contact, sexual imagery and unwelcome sexual advances. Participants asked to stop any harassing behavior are expected to comply immediately.

Violations should be reported to the workshop chairs. All reports will be treated confidentially. The conference committee will deal with each case separately. Sanctions include, but are not limited to, exclusion from the workshop, removal of material from the online record of the conference, and referral to the violator’s university or employer. All PPAI 2025 attendees are expected to comply with these standards of behavior.