Items where Division is "Mario Fritz (MF)" and Year is 2022

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Number of items: 9.

Abdelnabi, Sahar and Hasan, Rakibul and Fritz, Mario
(2022) Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources.
In: Conference on Computer Vision and Pattern Recognition.
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Böhle, Moritz and Fritz, Mario and Schiele, Bernt
(2022) B-Cos Networks: Alignment Is All We Need for Interpretability.
In: Conference on Computer Vision and Pattern Recognition, 21-24.06.2022, New Orleans, Louisiena, USA.
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Chen, Dingfan and Kerkouche, Raouf and Fritz, Mario
(2022) Private Set Generation with Discriminative Information.
In: Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, Louisiena, USA.
Conference: NeurIPS Conference on Neural Information Processing Systems

Chen, Dingfan and Yu, Ning and Fritz, Mario
(2022) RelaxLoss: Defending Membership Inference Attacks without Losing Utility.
In: The Tenth International Conference on Learning Representations.
Conference: ICLR International Conference on Learning Representations

Hasan, Rakibul and Fritz, Mario
(2022) Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring.
In: Privacy Enhancing Technologies.
Conference: PETS Privacy Enhancing Technologies Symposium (was International Workshop of Privacy Enhancing Technologies)

Liu, Yugeng and Wen, Rui and He, Xinlei and Salem, Ahmed and Zhang, Zhikun and Backes, Michael and De Cristofaro, Emiliano and Fritz, Mario and Zhang, Yang
(2022) ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.
In: USENIX Security Symposium (USENIX Security), 2022..
Conference: USENIX-Security Usenix Security Symposium

Rahimian, Shadi and Kerkouche, Raouf and Kurth, Ina and Fritz, Mario
(2022) Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data.
In: Conference on Health, Inference, and Learning, April 7-8, 2022, Virtual.
Conference: UNSPECIFIED

Wang, Hui-Po and Stich, Sebastian U. and He, Yang and Fritz, Mario
(2022) ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training.
In: International Conference on Machine Learning (ICML), 19.7.2022 - 21.7.2022, Baltimore, USA.
Conference: ICML International Conference on Machine Learning

Yu, Ning and Skripniuk, Vladislav and Chen, Dingfan and Davis, Larry S. and Fritz, Mario
(2022) Responsible Disclosure of Generative Models Using Scalable Fingerprinting.
In: The Tenth International Conference on Learning Representations, Virtual.
Conference: ICLR International Conference on Learning Representations

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