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Mario Fritz – CISPA Helmholtz Center for Information Security

Mario Fritz – CISPA Helmholtz Center for Information Security

Prof. Dr. Mario Fritz

Faculty
CISPA Helmholtz Center for Information Security

Professor
Saarland University

Fellow
European Laboratory for Learning and Intelligent Systems (ELLIS)


Google Scholar 

Semantic Scholar


We are looking for PhD students and Post-Docs! Please get in touch.

My group is working on Trustworthy Information Processing with a focus on the intersection of AI & Machine Learning with Security & Privacy.


Recent projects and initiatives related to health, privacy, AI:

  • Leading Scientist: Helmholtz Medical Security, Privacy, and AI Research Center (HMSP)
  • 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)
  • PI: Integrated Early Warning System for Local Recognition, Prevention, and Control for Epidemic Outbreaks (LOKI)
  • Partner-PI: The German Human Genome-Phenome Archive (GHGA)
  • Member of working group in “Forum Gesundheit” of BMBF: “AG Nutzbarmachung digitaler Daten für KI-Entwicklungen in der Gesundheitsforschung”

Recent work on DeepFake detecting, misinformation, attribution,and responsible disclosure:

  • CVPR’22: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
  • ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
  • ICCV’21: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
  • S&P’21: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
  • IJCAI’21: Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
  • CVPR’21: Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
  • ICCV’19: Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Recent publications:

  • ICML’22: ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
  • CVPR’22: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
  • CVPR’22: B-cos Networks: Alignment is All We Need for Interpretability
  • CHIL’22: Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
  • ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
  • ICLR’22: RelaxLoss: Defending Membership Inference Attacks without Losing Utility
  • Usenix’22: ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
  • PETS’22: Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring
  • IJCV’21: Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
  • CCS-W’21: Differential Privacy Defenses and Sampling Attacks for Membership Inference
  • CCS-W’21: “What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
  • PKDD-W’21: IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis
  • PKDD-W’21: SampleFix: Learning to Generate Functionally Diverse Fixes
  • ICCV’21: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
  • ICCV’21: Dual Contrastive Loss and Attention for GANs
  • EXCLI’21: Privacy Considerations for Sharing Genomics Data
  • IJCAI’21: Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
  • S&P’21: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
  • CVPR’21: Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
  • CVPR’21: Convolutional Dynamic Alignment Networks for Interpretable Classifications
  • CVPR’21: Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
  • CVPR-W’21: MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
  • CVPR-W’21: InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
  • WACV’21: Future Moment Assessment for Action Query

Most recent work on ArXiv:

  • ArXiv’21: Backdoor Attacks on Network Certification via Data Poisoning
  • ArXiv’21: ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

News, talks, events:

  • Scientific Advisory Board: Bosch AIShield
  • Steering Board: Helmholtz.AI
  • Recent program committees: ICML’21, NeurIPS’21, S&P’22, EuroS&P’22, CVPR’22 (AC); CCS’22
  • Runner-up Inria/CNIL Privacy Protection Prize 2020
    S&P’20 paper: “Automatically Detecting Bystanders in Photos to Reduce Privacy Risks”
  • Co-Organizers of ICLR’21 Workshop on “Synthetic Data Generation – Quality, Privacy, Bias”
  • Co-Organizers of CVPR’21 Workshop on “QuoVadis: Interdisciplinary, Socio-Technical Workshop on the Future of Computer Vision and Pattern Recognition (QuoVadis-CVPR)”
  • Co-Organizers of CVPR’21 Workshop on “Causality in Vision”
  • Founding member of Saarbrücken Artificial Intelligence & Machine Learning (SAM) unit of the European Laboratory of Learning and Intelligent Systems (ELLIS)
  • Lecturer at Digital CISPA Summer School 2020
  • Co-Organizer of Third International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at ECCV 2020
  • Co-Organizer: 4. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’20
  • Keynote at Workshop Machine Learning for Cybersecurity, ECMLPKDD’19
  • Talk at Cyber Defense Campus (CYD) Conference on Artificial Intelligence in Defence and Security
  • Co-Organizer of Second International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at CVPR 2019
  • Co-Organizer: 3. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’19
  • Leading scientist at new Helmholtz Medical Security and Privacy Research Center
  • Member of ACM Technical Policy Committee Europe
  • Mateusz Malinowski received the DAGM MVTec dissertation award as well as the Dr.-Eduard-Martin award for his PhD
  • Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

2011 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022

Show all

2021

Journal Articles

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Max Losch; Mario Fritz; Bernt Schiele

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations Journal Article

In: International Journal of Computer Vision (IJCV), 2021.

Links | BibTeX | Tags: 2021

@article{losch21ijcv,
title = {Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations},
author = {Max Losch and Mario Fritz and Bernt Schiele},
url = {https://link.springer.com/content/pdf/10.1007/s11263-021-01498-0.pdf},
year = {2021},
date = {2021-09-14},
journal = {International Journal of Computer Vision (IJCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://link.springer.com/content/pdf/10.1007/s11263-021-01498-0.pdf

Close

Privacy considerations for sharing genomics data

Marie Oestreich; Dingfan Chen; Joachim L. Schultze; Mario Fritz; Matthias Becker

Privacy considerations for sharing genomics data Journal Article

In: EXCLI Journal, 2021.

Links | BibTeX | Tags: 2021

@article{oestreich21excli,
title = {Privacy considerations for sharing genomics data},
author = {Marie Oestreich and Dingfan Chen and Joachim L. Schultze and Mario Fritz and Matthias Becker},
url = {https://www.excli.de/index.php/excli/article/view/4002
https://www.excli.de/index.php/excli/article/view/4002/3892},
year = {2021},
date = {2021-07-16},
journal = {EXCLI Journal},
keywords = {2021},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://www.excli.de/index.php/excli/article/view/4002
  • https://www.excli.de/index.php/excli/article/view/4002/3892

Close

Inproceedings

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Ning Yu; Vladislav Skripniuk; Sahar Abdelnabi; Mario Fritz

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Inproceedings

In: International Conference on Computer Vision (ICCV), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{ning21iccv1,
title = {Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data},
author = {Ning Yu and Vladislav Skripniuk and Sahar Abdelnabi and Mario Fritz},
url = {preliminary version:
https://arxiv.org/abs/2007.08457
https://arxiv.org/pdf/2007.08457.pdf},
year = {2021},
date = {2021-10-12},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/2007.08457
  • https://arxiv.org/pdf/2007.08457.pdf

Close

Dual Contrastive Loss and Attention for GANs

Ning Yu; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis; Mario Fritz

Dual Contrastive Loss and Attention for GANs Inproceedings

In: International Conference on Computer Vision (ICCV), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{ning21iccv2,
title = {Dual Contrastive Loss and Attention for GANs},
author = {Ning Yu and Guilin Liu and Aysegul Dundar and Andrew Tao and Bryan Catanzaro and Larry Davis and Mario Fritz },
url = {preliminary version:
https://arxiv.org/abs/2103.16748
https://arxiv.org/pdf/2103.16748.pdf},
year = {2021},
date = {2021-10-11},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/2103.16748
  • https://arxiv.org/pdf/2103.16748.pdf

Close

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Yang He; Ning Yu; Margret Keuper; Mario Fritz

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Inproceedings

In: 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{he21ijcai,
title = {Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis},
author = {Yang He and Ning Yu and Margret Keuper and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/05/ijcai21.pdf},
year = {2021},
date = {2021-08-21},
booktitle = {30th International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/05/ijcai21[...]

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Convolutional Dynamic Alignment Networks for Interpretable Classifications

Moritz Bohle, Mario Fritz, Bernt Schiele

Convolutional Dynamic Alignment Networks for Interpretable Classifications Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{moritz21cvpr,
title = {Convolutional Dynamic Alignment Networks for Interpretable Classifications},
author = {Moritz Bohle, Mario Fritz, Bernt Schiele},
url = {https://openaccess.thecvf.com/content/CVPR2021/papers/Bohle_Convolutional_Dynamic_Alignment_Networks_for_Interpretable_Classifications_CVPR_2021_paper.pdf},
year = {2021},
date = {2021-06-22},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://openaccess.thecvf.com/content/CVPR2021/papers/Bohle_Convolutional_Dynami[...]

Close

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Apratim Bhattacharyya; Daniel Olmeda Reino; Mario Fritz; Bernt Schiele

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{apratim21cvpr,
title = {Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers},
author = {Apratim Bhattacharyya and Daniel Olmeda Reino and Mario Fritz and Bernt Schiele},
url = {https://openaccess.thecvf.com/content/CVPR2021/papers/Bhattacharyya_Euro-PVI_Pedestrian_Vehicle_Interactions_in_Dense_Urban_Centers_CVPR_2021_paper.pdf
https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/research/euro-pvi-dataset},
year = {2021},
date = {2021-06-21},
urldate = {2021-06-21},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://openaccess.thecvf.com/content/CVPR2021/papers/Bhattacharyya_Euro-PVI_Ped[...]
  • https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/rese[...]

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Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

Hui-Po Wang; Ning Yu; Mario Fritz

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{wang21cvpr,
title = {Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs},
author = {Hui-Po Wang and Ning Yu and Mario Fritz},
url = {https://arxiv.org/abs/2011.14107
https://arxiv.org/pdf/2011.14107.pdf},
year = {2021},
date = {2021-06-19},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2011.14107
  • https://arxiv.org/pdf/2011.14107.pdf

Close

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

Sahar Abdelnabi; Mario Fritz

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Inproceedings

In: IEEE Symposium on Security and Privacy (S&P), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{abdelnabi21oakland,
title = {Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding},
author = {Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2009.03015
https://arxiv.org/pdf/2009.03015.pdf
https://github.com/S-Abdelnabi/awt
short video: https://www.youtube.com/watch?v=_Wc2OLVfD7Q
long video: https://www.youtube.com/watch?v=3wvgds9bYg4},
year = {2021},
date = {2021-05-21},
booktitle = {IEEE Symposium on Security and Privacy (S&P)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2009.03015
  • https://arxiv.org/pdf/2009.03015.pdf
  • https://github.com/S-Abdelnabi/awt
  • short video: https://www.youtube.com/watch?v=_Wc2OLVfD7Q
  • long video: https://www.youtube.com/watch?v=3wvgds9bYg4

Close

Future Moment Assessment for Action Query

Qiuhong Ke; Mario Fritz; Bernt Schiele

Future Moment Assessment for Action Query Inproceedings

In: IEEE Winter Conference on Applications of Computer Vision (WACV ’20), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{wacv21ke,
title = {Future Moment Assessment for Action Query},
author = {Qiuhong Ke and Mario Fritz and Bernt Schiele},
url = {https://openaccess.thecvf.com/content/WACV2021/html/Ke_Future_Moment_Assessment_for_Action_Query_WACV_2021_paper.html
https://openaccess.thecvf.com/content/WACV2021/papers/Ke_Future_Moment_Assessment_for_Action_Query_WACV_2021_paper.pdf},
year = {2021},
date = {2021-01-05},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV ’20)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://openaccess.thecvf.com/content/WACV2021/html/Ke_Future_Moment_Assessment_[...]
  • https://openaccess.thecvf.com/content/WACV2021/papers/Ke_Future_Moment_Assessmen[...]

Close

Technical Reports

Backdoor Attacks on Network Certification via Data Poisoning

Tobias Lorenz; Marta Kwiatkowska; Mario Fritz

Backdoor Attacks on Network Certification via Data Poisoning Technical Report

arXiv:2108.11299, 2021.

Links | BibTeX | Tags: 2021

@techreport{lorenz21arxiv,
title = {Backdoor Attacks on Network Certification via Data Poisoning},
author = {Tobias Lorenz and Marta Kwiatkowska and Mario Fritz},
url = {https://arxiv.org/abs/2108.11299
https://arxiv.org/pdf/2108.11299.pdf},
year = {2021},
date = {2021-08-25},
type = {arXiv:2108.11299},
keywords = {2021},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2108.11299
  • https://arxiv.org/pdf/2108.11299.pdf

Close

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Yugeng Liu; Rui Wen; Xinlei He; Ahmed Salem; Zhikun Zhang; Michael Backes; Emiliano De Cristofaro; Mario Fritz; Yang Zhang

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Technical Report

arXiv:2102.02551, 2021.

Links | BibTeX | Tags: 2021

@techreport{liu21arxiv,
title = {ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models},
author = {Yugeng Liu and Rui Wen and Xinlei He and Ahmed Salem and Zhikun Zhang and Michael Backes and Emiliano De Cristofaro and Mario Fritz and Yang Zhang},
url = {https://arxiv.org/abs/2102.02551
https://arxiv.org/pdf/2102.02551.pdf},
year = {2021},
date = {2021-02-09},
type = {arXiv:2102.02551},
keywords = {2021},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2102.02551
  • https://arxiv.org/pdf/2102.02551.pdf

Close

Workshops

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models

Sahar Abdelnabi; Mario Fritz

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Workshop

Moving Target Defense Workshop in conjuncture with CCS, 2021.

Links | BibTeX | Tags: 2021

@workshop{abdelnabi21ccsw,
title = {"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models},
author = {Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2102.05104
https://arxiv.org/pdf/2102.05104.pdf},
year = {2021},
date = {2021-11-15},
booktitle = {Moving Target Defense Workshop in conjuncture with CCS},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2102.05104
  • https://arxiv.org/pdf/2102.05104.pdf

Close

SampleFix: Learning to Generate Functionally Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Cristian-Alexandru Staicu; Mario Fritz

SampleFix: Learning to Generate Functionally Diverse Fixes Workshop

1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD, Springer, 2021.

Links | BibTeX | Tags: 2021

@workshop{hajipour20pkddw,
title = {SampleFix: Learning to Generate Functionally Diverse Fixes},
author = {Hossein Hajipour and Apratim Bhattacharyya and Cristian-Alexandru Staicu and Mario Fritz},
url = {https://arxiv.org/abs/1906.10502
https://arxiv.org/pdf/1906.10502.pdf},
year = {2021},
date = {2021-09-17},
booktitle = {1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD},
publisher = {Springer},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/1906.10502
  • https://arxiv.org/pdf/1906.10502.pdf

Close

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Workshop

1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD, Springer, 2021.

Links | BibTeX | Tags: 2021

@workshop{hajipour21pkddw,
title = {IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis},
author = {Hossein Hajipour and Mateusz Malinowski and Mario Fritz},
url = {https://arxiv.org/abs/2006.10720
https://arxiv.org/pdf/2006.10720.pdf},
year = {2021},
date = {2021-09-17},
booktitle = {1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD},
publisher = {Springer},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2006.10720
  • https://arxiv.org/pdf/2006.10720.pdf

Close

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Workshop

CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.

Links | BibTeX | Tags: 2021

@workshop{wang21cvprs,
title = {InfoScrub: Towards Attribute Privacy by Targeted Obfuscation},
author = {Hui-Po Wang and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://arxiv.org/abs/2005.10329
https://arxiv.org/pdf/2005.10329.pdf},
year = {2021},
date = {2021-06-21},
booktitle = {CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2005.10329
  • https://arxiv.org/pdf/2005.10329.pdf

Close

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

Lucjan Hanzlik; Yang Zhang; Kathrin Grosse; Ahmed Salem; Max Augustin; Michael Backes; Mario Fritz

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Workshop

CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.

Links | BibTeX | Tags: 2021

@workshop{hanzlik21cvprw,
title = {MLCapsule: Guarded Offline Deployment of Machine Learning as a Service},
author = {Lucjan Hanzlik and Yang Zhang and Kathrin Grosse and Ahmed Salem and Max Augustin and Michael Backes and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/06/mlcapsul_TCV_CR-4.pdf},
year = {2021},
date = {2021-06-20},
booktitle = {CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/06/mlcapsu[...]

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