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

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Number of items: 9.

A

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

B

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

C

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

H

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)

L

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

R

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

W

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

Y

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

This list was generated on Wed Nov 20 22:34:48 2024 CET.

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