Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
N. Yu, V. Skripniuk, S. Abdelnabi and M. Fritz
ICCV 2021, IEEE/CVF International Conference on Computer Vision, 2021

Dual Contrastive Loss and Attention for GANs
N. Yu, G. Liu, A. Dundar, A. Tao, B. Catanzaro, L. Davis and M. Fritz
ICCV 2021, IEEE/CVF International Conference on Computer Vision, 2021

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
H.-P. Wang, N. Yu and M. Fritz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Y. He, N. Yu, M. Keuper and M. Fritz
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
D. Chen, N. Yu, Y. Zhang and M. Fritz
CCS ’20, ACM SIGSAC Conference on Computer and Communications Security, 2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models
N. Yu, K. Li, P. Zhou, J. Malik, L. Davis and M. Fritz
Computer Vision -- ECCV 2020, 2020

Long-Tailed Recognition Using Class-Balanced Experts
S. Sharma, N. Yu, M. Fritz and B. Schiele
Pattern Recognition (GCPR 2020), 2020

Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
N. Yu, C. Barnes, E. Shechtman, S. Amirghodsi and M. Lukáč
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
N. Yu, L. Davis and M. Fritz
International Conference on Computer Vision (ICCV 2019), 2019