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Mario Fritz

Max Planck Society
University of California, Berkeley

320

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12745

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Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data.

2022 CoRR
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Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring.

2022 Proc. Priv. Enhancing Technol.
- Rakibul Hasan
- Mario Fritz
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B-cos Networks: Alignment is All We Need for Interpretability.

2022 CoRR
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Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources.

2021 arXiv: Computer Vision and Pattern Recognition
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ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

2021 arXiv: Learning
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Backdoor Attacks on Network Certification via Data Poisoning.

2021 arXiv: Learning
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Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.

2021 IJCAI | International Joint Conference on Artificial Intelligence
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Convolutional Dynamic Alignment Networks for Interpretable Classifications

2021 arXiv: Learning
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Future Moment Assessment for Action Query

2021
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ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.

2021 arXiv: Cryptography and Security
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Citations (6)