*** Apologies for cross-postings ***

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Call For Papers
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2nd Workshop on Machine Unlearning and Privacy Preservation (WIPE-OUT 2) to be held as
part of the European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases (ECML-PKDD 2026).

Workshop proceedings will be published as indexed post-proceedings
volume of Springer's Communications in Computer and Information Science (CCIS).

Date: September 7th, 2026 - Naples (Italy)
Full Information at: https://aiimlab.org/events/ECML_PKDD_2026_WIPE-OUT_2_Workshop_on_Machine_Unlearning_and_Privacy_Preservation
Submission System:
https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Submission/Manage
(Select “WIPE-OUT 2 Workshop on Machine Unlearning and Privacy Preservation”)

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Deadline Extension
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The paper submission deadline has been extended to June 19th, 2026.

We encourage authors to take advantage of the extended deadline to submit
their latest research, position papers, benchmark proposals, and practical
contributions related to machine unlearning and privacy preservation.

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Important Dates
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Paper Submissions deadline: June 19th, 2026
Notifications: July 5th, 2026
Camera-Ready: July 10th, 2026
Workshop: September 7th, 2026

All deadlines are 11:59 pm AoE.

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Workshop Topics
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WIPE-OUT 2 welcomes contributions on all topics related to Machine Unlearning
across domains (e.g., finance, business, basic sciences, construction, computational
advertising, medical, etc.) and independent of data types (e.g., networks, tabular,
unstructured, graphs, logs, spatiotemporal, multimedia, time series, genomic
sequences, and streaming data). Contributions can also include research or
perspectives regarding the following:

* Foundations and Theory of Machine Unlearning
* Unlearning in LLMs and Foundation Models
* Machine Unlearning in Computer Vision
* Machine Unlearning in Recommender Systems
* Privacy and Compliance in Machine Unlearning
* Systems and Scalable Machine Unlearning
* Evaluation and benchmarking of Machine Unlearning
* Implications of Machine Unlearning

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Submission and Publication
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Papers must be submitted electronically via the Microsoft CMT system.
Submission system:
https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Submission/Manage
From the submission system, select the “WIPE-OUT 2 Workshop on Machine Unlearning and Privacy Preservation” track to create a new submission.
Accepted workshop papers will be included in an indexed post-workshop
proceedings volume published by Springer Communications in Computer and
Information Science (CCIS), indexed on Google Scholar, DBLP, and Scopus.

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Workshop Chairs
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Andrea D'Angelo - University of L'Aquila (andrea.dangelo6@graduate.univaq.it)
Claudio Savelli - Polytechnic of Turin (claudio.savelli@polito.it)
Flavio Giobergia - Polytechnic of Turin (flavio.giobergia@polito.it)
Francesco Gullo - University of L'Aquila (gullof@acm.org)
Giovanni Stilo - Luiss University of Rome (gstilo@luiss.it)

For general inquiries, please contact the chairs listed above.
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Related Challenge
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We are also pleased to highlight the “Neural Debris Removal in Streak
Detection Models” Kaggle competition, supported by the European
Space Agency (ESA):

https://www.kaggle.com/competitions/neural-debris-removal-in-streak-detection-models