NEWS
ICLR 2025 Conference Contributions
The BIFOLD research groups Machine Learning and Explainable Machine Learning in Medicine will participate in ICLR 2025, contributing eight papers, one blog article, and one talk. The conference is set for April 24-28, 2025, in Singapore.
IEEE SaTML 2025 Conference Contribution
Dr. Thorsten Eisenhofer will present the paper “Verifiable and Provably Secure Machine Unlearning,” at SaTML 2025. Eisenhofer is Postdoc in the research group “Machine Learning and Security”. His paper introduces a new framework designed to verify that user data has been correctly deleted from machine learning models, supported by cryptographic proofs.
EVENTS
BIFOLD-HEIBRiDS Lecture
As part of the BIFOLD–HEIBRiDS cooperation, a joint talk will take place on April 29. Prof. Stephanie Brandl (University of Copenhagen) will speak on “Natural Language Processing in Times of ChatGPT.”
AI Governance In Action
Explore practical strategies for implementing the EU AI Act at the "AI Governance In Action" event on April 30, 2025, at IQZ Berlin.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Haci Ismail Aslan, Philipp Wiesner, Ping Xiong, Odej Kao
β-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation
Josef Schmeißer, Clemens Lutz, Volker Markl
Efficiently Indexing Large Data on GPUs with Fast Interconnects
Haralampos Gavriilidis, Lennart Behme, Christian Munz, Varun Pandey, Volker Markl
CompoDB:ADemonstration of Modular Data Systems in Practice
GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.
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