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© Eisenhofer
BIFOLD Update| April 09, 2025

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.

© Unsplash
Machine Learning| December 09, 2024

Machine Learning Backdoors in Hardware

So-called backdoor attacks pose a serious threat to machine learning, as they can compromise the integrity of security-critical AI systems, such as those used in autonomous driving or healthcare.

Montage BIFOLD
BIFOLD Update| August 28, 2024

Learning from the Best

Dr. Anne Josiane Kouam is researching mobile security and privacy at BIFOLD. She's been selected as one of 200 promising young mathematicians and computer scientists to spend a week with leading experts in the field.

© Swapnil Bapat / unsplash
Cyber Security| July 01, 2024

BIFOLD researchers present four papers at ASIACCS 2024

The 19th ACM ASIA Conference on Computer and Communications Security (ASIACCS 2024) will take place in Singapore from July 1 to July 5, 2024. The conference will focus on specific areas of computer science, such as information security and information privacy.

©️ Rieck
Machine Learning| May 22, 2024

IEEE Test-of-Time Award for Konrad Rieck

Together with his former PhD student Fabian Yamaguchi and the entire team, Konrad Rieck won the Test-of-Time Award at the IEEE Symposium on Security and Privacy for their paper: "Modeling and Discovering Vulnerabilities with Code Property Graphs ".  The IEEE Symposium on Security and Privacy is the oldest and most important conference in computer security. Each year, the "Test-of-Time Award" is given to papers that significantly influenced research and can be described as groundbreaking.

© Alexander Warnecke
Machine Learning| May 12, 2024

Researcher Spotlight: Dr. Alexander Warnecke

Congratulations to Dr. Alexander Warnecke who succesfully defended his PhD "Security Viewpoints on Explainable Machine Learning" on April 16, 2024.

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Cyber Security| March 11, 2024

Project Launch AIgenCY

With the innovative research project "AIgenCY - Opportunities and Risks of Generative AI in Cybersecurity," leading experts from academia and industry take on the challenge of exploring the implications of generative artificial intelligence (AI) for cybersecurity.

© BIFOLD
BIFOLD Update| January 11, 2024

Photo recap: BIFOLD New Year's reception

At its New Year's reception BIFOLD welcomed a series of distinguished guests and friends from Berlin's AI community.

© BIFOLD
Cyber Security| October 25, 2023

Email security under scrutiny: Examining SPF weaknesses

Cyber security researchers at BIFOLD found weaknesses in Sender Policy Framework (SPF) records, which protect email users from forged senders. The paper “Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild” includes an analysis of 12 million domains’ SPF records and was now presented at the 2023 ACM Internet Measurement Conference.

C: BIFOLD/Michael Setzpfandt
BIFOLD Update| October 11, 2023

Photo recap: All Hands Meeting 2023

On October 9 and 10, 2023, BIFOLD welcomed the other Geman AI centers (ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, MCML, and the DFKI) in Berlin. The annual meeting featured guests, partners, visitors, and researchers from all over Germany.