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Ning Yu
Ning Yu
Salesforce Research
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Title
Cited by
Cited by
Year
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
N Yu, L Davis, M Fritz
IEEE International Conference on Computer Vision (ICCV), 2019
314*2019
Gan-leaks: A taxonomy of membership inference attacks against generative models
D Chen, N Yu, Y Zhang, M Fritz
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2020
207*2020
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
N Yu, V Skripniuk, S Abdelnabi, M Fritz
IEEE International Conference on Computer Vision (ICCV), 2021
69*2021
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
N Yu, K Li, P Zhou, J Malik, L Davis, M Fritz
European Conference on Computer Vision (ECCV), 2020
422020
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
N Yu, C Barnes, E Shechtman, S Amirghodsi, M Lukac
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
382019
Dual contrastive loss and attention for gans
N Yu, G Liu, A Dundar, A Tao, B Catanzaro, L Davis, M Fritz
IEEE International Conference on Computer Vision (ICCV), 2021
362021
Responsible disclosure of generative models using scalable fingerprinting
N Yu, V Skripniuk, D Chen, L Davis, M Fritz
International Conference on Learning Representations (ICLR), 2022
222022
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Y He, N Yu, M Keuper, M Fritz
International Joint Conference on Artificial Intelligence (IJCAI), 2021
222021
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
HP Wang, N Yu, M Fritz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
222021
Application of machine learning for estimating label nutrients using USDA Global Branded Food Products Database,(BFPD)
P Ma, A Li, N Yu, Y Li, R Bahadur, Q Wang, JK Ahuja
Journal of Food Composition and Analysis, 2021
182021
Long-Tailed Recognition Using Class-Balanced Experts
S Sharma, N Yu, M Fritz, B Schiele
DAGM German Conference on Pattern Recognition (GCPR), 2020
172020
Learning to Detect Multiple Photographic Defects
N Yu, X Shen, Z Lin, R Mech, C Barnes
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
172018
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models
Z Sha, Z Li, N Yu, Y Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2023
162023
A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI
N Yu, J Wu, SP Weinstein, B Gaonkar, BM Keller, AB Ashraf, YQ Jiang, ...
SPIE Medical Imaging: Computer-Aided Diagnosis, 2015
162015
Auditing Membership Leakages of Multi-Exit Networks
Z Li, Y Liu, X He, N Yu, M Backes, Y Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022
132022
Application of deep learning for image-based Chinese market food nutrients estimation
P Ma, CP Lau, N Yu, A Li, J Sheng
Food Chemistry 373, 130994, 2022
132022
Membership Inference Attacks Against Text-to-image Generation Models
Y Wu, N Yu, Z Li, M Backes, Y Zhang
arXiv preprint arXiv:2210.00968, 2022
112022
Image-based Nutrient Estimation for Chinese Dishes Using Deep Learning
P Ma, CP Lau, N Yu, A Li, P Liu, Q Wang, J Sheng
Food Research International, 2021
112021
Deep video inpainting detection
P Zhou, N Yu, Z Wu, LS Davis, A Shrivastava, SN Lim
British Machine Vision Conference (BMVC), 2021
72021
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
D Chen, N Yu, M Fritz
International Conference on Learning Representations (ICLR), 2022
62022
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