Items where Author is "Yu, Ning"

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Number of items: 13.

Conference or Workshop Item (A Paper)

Li, Zheng and Yu, Ning and Salem, Ahmed and Backes, Michael and Fritz, Mario and Zhang, Yang
(2023) UnGANable: Defending Against GAN-based Face Manipulation.
In: USENIX Security.
Conference: USENIX-Security Usenix Security Symposium

Li, Zheng and Liu, Yiyong and He, Xinlei and Yu, Ning and Backes, Michael and Zhang, Yang
(2022) Auditing Membership Leakages of Multi-Exit Networks.
In: CCS 2022.
Conference: CCS ACM Conference on Computer and Communications Security

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

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

Yu, Ning and Skripniuk, Vladislav and Abdelnabi, Sahar and Fritz, Mario
(2021) Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.
In: IEEE International Conference on Computer Vision (ICCV), 2021, Virtual.
Conference: ICCV IEEE International Conference on Computer Vision

Yu, Ning and Liu, Guilin and Dundar, Aysegul and Tao, Andrew and Catanzaro, Bryan and Davis, Larry and Fritz, Mario
(2021) Dual Contrastive Loss and Attention for GANs.
In: IEEE International Conference on Computer Vision (ICCV) 2021, Virtual.
Conference: ICCV IEEE International Conference on Computer Vision

He, Yang and Yu, Ning and Keuper, Margret and Fritz, Mario
(2021) Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.
In: 30th International Joint Conference on Artificial Intelligence (IJCAI).
Conference: IJCAI International Joint Conference on Artificial Intelligence

Wang, Hui-Po and Yu, Ning and Fritz, Mario
(2021) Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.
In: 34th IEEE Conference on Computer Vision and Pattern Recognition.
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Chen, Dingfan and Yu, Ning and Zhang, Yang and Fritz, Mario
(2020) GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.
In: ACM Conference on Computer and Communications Security (CCS).
Conference: CCS ACM Conference on Computer and Communications Security

Sharma, Saurabh and Yu, Ning and Fritz, Mario and Schiele, Bernt
(2020) Long-Tailed Recognition Using Class-Balanced Experts.
In: German Conference on Pattern Recognition (GCPR).
Conference: GCPR German Conference on Pattern Recognition

Yu, Ning and Li, Ke and Zhou, Peng and Malik, Jitendra and Davis, Larry S. and Fritz, Mario
(2020) Inclusive GAN: Improving Data and Minority Coverage in Generative Models.
In: European Conference on Computer Vision (ECCV).
Conference: ECCV European Conference on Computer Vision

Yu, Ning and Davis, Larry and Fritz, Mario
(2019) Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints.
In: International Conference on Computer Vision (ICCV).
Conference: ICCV IEEE International Conference on Computer Vision

Other

Yu, Ning and Skripniuk, Vladislav and Abdelnabi, Sahar and Fritz, Mario
(2020) Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.
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This list was generated on Tue Dec 3 02:15:18 2024 CET.
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