Prof. Dr. Mario Fritz
Faculty
CISPA Helmholtz Center for Information Security
Professor
Saarland University
Fellow
European Laboratory for Learning and Intelligent Systems (ELLIS)
Our group is working on Trustworthy AI and AI Security and Safety in various domains like Cybersecurity, Health, Computer Vision, Natural Language Processing.
We are looking for PhD students and Post-Docs! Please get in touch.
We also offer student projects, bachelor/master thesis, internships.
Recent projects and initiatives related to trustworthy AI/ML, health, privacy:
- PI: European Large Open Multi-Modal Foundation Models for Robust Generalization on Arbitrary Data Streams (ELLIOT)
- Coordinator and PI: European Lighthouse on Secure and Safe AI (ELSA)
- Coordinator and PI: PriSyn: Representative, synthetic health data with strong privacy guarantees (BMBF)
- PI: AIgency “Opportunities and Risks of generative AI in Cybersecurity” (BMBF)
- PI: PrivateAIM – sichere verteilte Auswertung medizinischer Daten (Medizin Informatik Initiative)
- Leading Scientist: Helmholtz Medical Security, Privacy, and AI Research Center (HMSP)
- Coordinator and PI: PriSyn: Representative, synthetic health data with strong privacy guarantees
- Coordinator and PI: ImageTox: Automated image-based detection of early toxicity events in zebrafish larvae
- PI: Integrated Early Warning System for Local Recognition, Prevention, and Control for Epidemic Outbreaks (LOKI)
- Partner-PI: The German Human Genome-Phenome Archive (GHGA)
- Coordinator and PI: Trustworthy Federated Data Analytics Project (TFDA)
- Coordinator and PI: Protecting Genetic Data with Synthetic Cohorts from Deep Generative Models (PRO-GENE-GEN)
- Member of working group in “Forum Gesundheit” of BMBF: “AG Nutzbarmachung digitaler Daten für KI-Entwicklungen in der Gesundheitsforschung”
Recent activities w.r.t. policy, regulation, outreach
- Frontier AI expert Findings on EU competitiveness, sovereignty and security
- Member of the AI Act Scientific Panel
- Expert for AI Cybersecurity Uplift Study “Toward Quantitative Modeling of Cybersecurity Risks Due to AI Misuse”
- Independent Expert study on technical means for implementing article 50 of EU AI Act towards the code of practice
- Scientific Lead of the CISPA-ELLIS Summerschool 2025 on “Trustworthy AI – Secure and Safe Foundation Models”
- Panel on “Loss of Control” at EU AI Office Workshop on “Towards defining best practices for systemic risk evaluations”
- Keynote on “Security and Safety of LLMs and AI Agents” at 18th ACM International Conference on Web Search and Data Mining
- Talk on “Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity?” at European AI Office workshop “Evaluating General-Purpose AI Models with Systemic Risk”
- Expert opinion for evidence review report “Successful and timely uptake of artificial intelligence in science in the EU”
- Co-Author “ELSA Strategic Research Agenda: Facing the Grand Challenges of Secure and Safe AI”
- Co-Author “AI, Data, and Robotics ‘made in Europe’: Research agendas from the EU AI and robotics Networks of Excellence”
- Lecture at Artificial Intelligence Doctoral Academy (AIDA) on “Trustworthy AI and A Cybersecurity Perspective on Large Language Models”
2013
Book Sections
A Category-Level 3D Object Dataset: Putting the Kinect to Work Book Section
In: Fossati, Andrea; Gall, Juergen; Grabner, Helmut; Ren, Xiaofeng; Konolige, Kurt (Ed.): Consumer Depth Cameras for Computer Vision, Springer London, 2013.
Proceedings Articles
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2013.
Learning Smooth Pooling Regions for Visual Recognition Proceedings Article
In: British Machine Vision Conference (BMVC), 2013.
Dynamic Feature Selection for Classification on a Budget Proceedings Article
In: ICML Workshop on Prediction with Sequential Models, 2013.
Masters Theses
Scene Segmentation in Adverse Vision Conditions Masters Thesis
Saarland University, 2013.
Multi-Scale Feature Learning for Material Recognition Masters Thesis
Saarland University, 2013.
Technical Reports
Learnable Pooling Regions for Image Classification Technical Report
arXiv:1301.3516 [cs.CV], 2013, (Workshop at International Conference on Learning Representations).
2012
Proceedings Articles
Kernel Density Topic Models: Visual Topics Without Visual Words Proceedings Article
In: NIPS Workshop Modern Non-Parametric Methods in Machine Learning, 2012.