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:
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”
2015
Journal Articles
Hyun Oh Song; Mario Fritz; Daniel Goehring; Trevor Darrell
Learning to detect visual grasp affordance Journal Article
In: IEEE Transactions on Automation Science and Engineering (TASE), 2015.
@article{song15tase,
title = {Learning to detect visual grasp affordance},
author = {Hyun Oh Song and Mario Fritz and Daniel Goehring and Trevor Darrell},
url = {https://scalable.mpi-inf.mpg.de/files/2015/02/main_tase.pdf
https://www.youtube.com/watch?v=C3HU1Tb5hF4},
year = {2015},
date = {2015-03-01},
journal = {IEEE Transactions on Automation Science and Engineering (TASE)},
keywords = {2015},
pubstate = {published},
tppubtype = {article}
}
Proceedings Articles
Mateusz Malinowski; Marcus Rohrbach; Mario Fritz
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2015, (oral).
@inproceedings{malinowski15iccv,
title = {Ask Your Neurons: A Neural-based Approach to Answering Questions about Images},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {preliminary version:
http://arxiv.org/abs/1505.01121
http://arxiv.org/pdf/1505.01121.pdf
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge
please cite IJCV version: Ask Your Neurons: A Deep Learning Approach to Visual Question Answering},
year = {2015},
date = {2015-12-03},
urldate = {2015-12-03},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
note = {oral},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}
Wei-Chen Chiu; Mario Fritz
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2015.
@inproceedings{chiu15iccv,
title = {See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG},
author = {Wei-Chen Chiu and Mario Fritz},
url = {https://sites.google.com/site/walonchiu/projects/diffhog
http://arxiv.org/abs/1505.00663
http://arxiv.org/pdf/1505.00663v4.pdf
},
year = {2015},
date = {2015-12-02},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}
Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele
Person Recognition in Personal Photo Collections Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2015.
@inproceedings{oh15iccv,
title = {Person Recognition in Personal Photo Collections},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {http://arxiv.org/abs/1509.03502
https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/person-recognition-in-personal-photo-collections/
},
year = {2015},
date = {2015-12-01},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}
Wenbin Li; Mario Fritz
Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors Proceedings Article
In: IEEE RAS International Conference on Humanoid Robots (HUMANOIDS), 2015, (to appear).
@inproceedings{li15humanoids,
title = {Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors},
author = {Wenbin Li and Mario Fritz},
url = {https://scalable.mpi-inf.mpg.de/files/2015/10/main.pdf},
year = {2015},
date = {2015-11-03},
booktitle = {IEEE RAS International Conference on Humanoid Robots (HUMANOIDS)},
note = {to appear},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}
Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling
Appearance-based gaze estimation in the wild Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
@inproceedings{xucong15cvpr,
title = { Appearance-based gaze estimation in the wild},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/zhang_CVPR15.pdf},
year = {2015},
date = {2015-08-02},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}
Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling
Prediction of search targets from fixations in open-world settings Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
@inproceedings{sattar15cvpr,
title = {Prediction of search targets from fixations in open-world settings},
author = {Hosnieh Sattar and Sabine Müller and Mario Fritz and Andreas Bulling},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/sattar15_cvpr.pdf},
year = {2015},
date = {2015-08-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}
Mateusz Malinowski; Mario Fritz
Hard to Cheat: A Turing Test based on Answering Questions about Images Proceedings Article
In: AAAI Workshop Beyond The Turing Test, 2015.
@inproceedings{malinowski15aaai,
title = {Hard to Cheat: A Turing Test based on Answering Questions about Images},
author = {Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1501.03302
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2015},
date = {2015-01-30},
booktitle = {AAAI Workshop Beyond The Turing Test},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}
Masters Theses
Sreyasi Nag Chowdhury
Contextual Media Retrieval Using Natural Language Queries Masters Thesis
Saarland University, 2015.
@mastersthesis{chowdhury15master,
title = {Contextual Media Retrieval Using Natural Language Queries},
author = {Sreyasi Nag Chowdhury},
year = {2015},
date = {2015-01-16},
school = {Saarland University},
keywords = {2015},
pubstate = {published},
tppubtype = {mastersthesis}
}
Miscellaneous
Mario Fritz
Bridging the Gap Between Synthetic and Real Data Miscellaneous
Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152), 2015, (to appear).
@misc{fritz15dagstuhl,
title = {Bridging the Gap Between Synthetic and Real Data},
author = {Mario Fritz},
editor = {Trevor Darrell and Marius Kloft and Massimiliano Pontil and Gunnar Rätsch},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/mario_fritz.pdf},
year = {2015},
date = {2015-09-30},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
howpublished = {Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152)},
note = {to appear},
keywords = {2015},
pubstate = {published},
tppubtype = {misc}
}
Technical Reports
Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars
Deep Reflectance Maps Technical Report
arXiv:1511.04384 [cs.CV], 2015.
@techreport{kostas15arxiv,
title = {Deep Reflectance Maps},
author = {Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Efstratios Gavves and Tinne Tuytelaars},
url = {http://arxiv.org/abs/1511.04384
http://arxiv.org/pdf/1511.04384.pdf
http://homes.cs.washington.edu/~krematas/DRM/},
year = {2015},
date = {2015-11-16},
type = {arXiv:1511.04384 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}
Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele
Person Recognition in Personal Photo Collections Technical Report
arXiv:1509.03502 [cs.CV], 2015.
@techreport{oh15arxiv,
title = {Person Recognition in Personal Photo Collections},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele}},
url = {http://arxiv.org/abs/1509.03502
http://arxiv.org/pdf/1509.03502v1.pdf},
year = {2015},
date = {2015-09-15},
type = {arXiv:1509.03502 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}
Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling
Appearance-based gaze estimation in the wild Technical Report
arXiv:1504.02863, 2015.
@techreport{xucong15arxiv,
title = { Appearance-based gaze estimation in the wild},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {http://arxiv.org/abs/1504.02863
http://arxiv.org/pdf/1504.02863v1.pdf},
year = {2015},
date = {2015-07-16},
type = {arXiv:1504.02863},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}
Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling
Prediction of search targets from fixations in open-world settings Technical Report
arXiv:1502.05137 [cs.CV], 2015.
@techreport{sattar15arxiv,
title = {Prediction of search targets from fixations in open-world settings},
author = {Hosnieh Sattar and Sabine Müller and Mario Fritz and Andreas Bulling},
url = {http://arxiv.org/abs/1502.05137
http://arxiv.org/pdf/1502.05137v3.pdf},
year = {2015},
date = {2015-07-15},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
type = {arXiv:1502.05137 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}
Mateusz Malinowski; Marcus Rohrbach; Mario Fritz
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Technical Report
arXiv:1505.01121, 2015.
@techreport{malinowski15arxiv,
title = {Ask Your Neurons: A Neural-based Approach to Answering Questions about Images},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {http://arxiv.org/abs/1505.01121
http://arxiv.org/pdf/1505.01121.pdf
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2015},
date = {2015-05-06},
urldate = {2015-05-06},
type = {arXiv:1505.01121},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}
Wei-Chen Chiu; Mario Fritz
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Technical Report
arXiv:1505.00663 [cs.CV], 2015.
@techreport{chiu15arxiv_hog,
title = {See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG},
author = {Wei-Chen Chiu and Mario Fritz},
url = {https://sites.google.com/site/walonchiu/projects/diffhog
http://arxiv.org/abs/1505.00663
http://arxiv.org/pdf/1505.00663v4.pdf},
year = {2015},
date = {2015-05-05},
type = {arXiv:1505.00663 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}
Iaroslav Shcherbatyi; Andreas Bulling; Mario Fritz
GazeDPM: Early Integration of Gaze Information in Deformable Part Models Technical Report
arXiv:1505.05753 [cs.CV], 2015.
@techreport{Shcherbatyi15arxiv,
title = {GazeDPM: Early Integration of Gaze Information in Deformable Part Models},
author = {Iaroslav Shcherbatyi and Andreas Bulling and Mario Fritz},
url = {http://arxiv.org/abs/1505.05753
http://arxiv.org/pdf/1505.05753v1.pdf},
year = {2015},
date = {2015-05-05},
type = {arXiv:1505.05753 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}
