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TPDP 2025 CfP (Google Mountain View, June 2-3)
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Joe Near
Feb 24, 2025, 9:32:16 AMFeb 24
to opendp-c...@g.harvard.edu, j.sarathy.nor...@smtp4.uvm.edu
Hello!
We are excited to announce that the 2025 Theory and Practice of
Differential Privacy Workshop (TPDP 2025) will be held at Google in
Mountain View, CA on June 2 and 3. Please forward this announcement to
any individuals or mailing lists that you think may be interested.
The full call for papers is included at the end of this email. The
deadline to submit a 4 page abstract is March 20, 2025 AoE.
For the latest information, please refer to our website:
https://tpdp.journalprivacyconfidentiality.org/2025/
We will soon be sending out invitations for the program committee. We
would be grateful if you would let us know whether you are interested in
serving on the PC by filling out this optional form:
https://forms.gle/2nfBX4uSXp4SYJ6S6. Note that this email is not an
invitation to serve, and your answers are not binding.
Looking forward to seeing you at the workshop!
Joe Near & Jayshree Sarathy
TPDP 2025 Co-Chairs
---
Differential privacy (DP) is the leading framework for data analysis
with rigorous privacy guarantees. In the last two decades, it has
transitioned from the realm of pure theory to large scale, real world
deployments.
Differential privacy is an inherently interdisciplinary field, drawing
researchers from a variety of academic communities including machine
learning, statistics, security, theoretical computer science, databases,
and law. The combined effort across a broad spectrum of computer science
is essential for differential privacy to realize its full potential. To
this end, this workshop aims to stimulate discussion among participants
about both the state-of-the-art in differential privacy and the future
challenges that must be addressed to make differential privacy more
practical.
Specific topics of interest for the workshop include (but are not limited to):
Theory of DP
DP and security
Privacy preserving machine learning
DP and statistics
DP and data analysis
Trade-offs between privacy protection and analytic utility
DP and surveys
Programming languages for DP
Relaxations of DP
Relation to other privacy notions and methods
Experimental studies using DP
DP implementations
DP and policy making
Applications of DP
Reconstruction attacks and memorization
Submissions: Authors are invited to submit a short abstract of new work
or work published since June 2024 (the most recent TPDP submission
deadline). Submissions must be 4 pages maximum, not including
references. Submissions may also include appendices, but these are only
read at reviewer's discretion. There is no prescribed style file, but
authors should ensure a minimum of 1-inch margins and 10pt font.
Submissions are not anonymized, and should include author names and
affiliations.
Submissions will undergo a lightweight review process and will be judged
on originality, relevance, interest, and clarity. Based on the volume of
submissions to TPDP 2024 and the workshop's capacity constraints, we
expect that the review process will be somewhat more competitive than in
years past. Accepted abstracts will be presented at the workshop either
as a talk or a poster.
The workshop will not have formal proceedings and is not intended to
preclude later publication at another venue. In-person attendance is
encouraged, though authors of accepted abstracts who cannot attend in
person will be invited to submit a short video to be linked on the TPDP
website.
Selected papers from the workshop will be invited to submit a full
version of their work for publication in a special issue of the Journal
of Privacy and Confidentiality.
We are excited to announce that the 2025 Theory and Practice of
Differential Privacy Workshop (TPDP 2025) will be held at Google in
Mountain View, CA on June 2 and 3. Please forward this announcement to
any individuals or mailing lists that you think may be interested.
The full call for papers is included at the end of this email. The
deadline to submit a 4 page abstract is March 20, 2025 AoE.
For the latest information, please refer to our website:
https://tpdp.journalprivacyconfidentiality.org/2025/
We will soon be sending out invitations for the program committee. We
would be grateful if you would let us know whether you are interested in
serving on the PC by filling out this optional form:
https://forms.gle/2nfBX4uSXp4SYJ6S6. Note that this email is not an
invitation to serve, and your answers are not binding.
Looking forward to seeing you at the workshop!
Joe Near & Jayshree Sarathy
TPDP 2025 Co-Chairs
---
Differential privacy (DP) is the leading framework for data analysis
with rigorous privacy guarantees. In the last two decades, it has
transitioned from the realm of pure theory to large scale, real world
deployments.
Differential privacy is an inherently interdisciplinary field, drawing
researchers from a variety of academic communities including machine
learning, statistics, security, theoretical computer science, databases,
and law. The combined effort across a broad spectrum of computer science
is essential for differential privacy to realize its full potential. To
this end, this workshop aims to stimulate discussion among participants
about both the state-of-the-art in differential privacy and the future
challenges that must be addressed to make differential privacy more
practical.
Specific topics of interest for the workshop include (but are not limited to):
Theory of DP
DP and security
Privacy preserving machine learning
DP and statistics
DP and data analysis
Trade-offs between privacy protection and analytic utility
DP and surveys
Programming languages for DP
Relaxations of DP
Relation to other privacy notions and methods
Experimental studies using DP
DP implementations
DP and policy making
Applications of DP
Reconstruction attacks and memorization
Submissions: Authors are invited to submit a short abstract of new work
or work published since June 2024 (the most recent TPDP submission
deadline). Submissions must be 4 pages maximum, not including
references. Submissions may also include appendices, but these are only
read at reviewer's discretion. There is no prescribed style file, but
authors should ensure a minimum of 1-inch margins and 10pt font.
Submissions are not anonymized, and should include author names and
affiliations.
Submissions will undergo a lightweight review process and will be judged
on originality, relevance, interest, and clarity. Based on the volume of
submissions to TPDP 2024 and the workshop's capacity constraints, we
expect that the review process will be somewhat more competitive than in
years past. Accepted abstracts will be presented at the workshop either
as a talk or a poster.
The workshop will not have formal proceedings and is not intended to
preclude later publication at another venue. In-person attendance is
encouraged, though authors of accepted abstracts who cannot attend in
person will be invited to submit a short video to be linked on the TPDP
website.
Selected papers from the workshop will be invited to submit a full
version of their work for publication in a special issue of the Journal
of Privacy and Confidentiality.
Joe Near
Mar 18, 2025, 4:32:54 PMMar 18
to opendp-c...@g.harvard.edu, Sarathy, Jayshree
Reminder: the submission deadline for TPDP 2025 is this Thursday, 3/20!
https://tpdp25.cs.uchicago.edu/
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