Ning Yu

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Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityGeverifieerd e-mailadres voor cispa.de
Yang ZhangFaculty at CISPA Helmholtz Center for Information SecurityGeverifieerd e-mailadres voor cispa.de
Larry DavisProfessor of Computer Science, University of MarylandGeverifieerd e-mailadres voor cs.umd.edu
Dingfan ChenCISPA-Helmholtz Center for Information SecurityGeverifieerd e-mailadres voor cispa.de
Connelly BarnesAdobe ResearchGeverifieerd e-mailadres voor cs.virginia.edu
Sahar AbdelnabiPhD candidate, CISPA Helmholtz Center for Information SecurityGeverifieerd e-mailadres voor cispa.saarland
Peng ZhouAmazon.comGeverifieerd e-mailadres voor umd.edu
Michal LukáčAdobe ResearchGeverifieerd e-mailadres voor adobe.com
Zhe L. LinSenior Principal Scientist, Adobe ResearchGeverifieerd e-mailadres voor adobe.com
Radomir MechAdobe SystemsGeverifieerd e-mailadres voor adobe.com
Ke LiSimon Fraser UniversityGeverifieerd e-mailadres voor sfu.ca
Ahmed AshrafAssistant Professor, Manitoba Learning and AI Research, Department of ECE, University of ManitobaGeverifieerd e-mailadres voor cmu.edu
Brad Michael KellerHologic, Inc.Geverifieerd e-mailadres voor hologic.com
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIGeverifieerd e-mailadres voor pennmedicine.upenn.edu
Despina KontosMatthew J. Wilson Professor of Research Radiology II, Associate Vice-Chair for ResearchGeverifieerd e-mailadres voor pennmedicine.upenn.edu
Eli ShechtmanAdobe ResearchGeverifieerd e-mailadres voor adobe.com
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityGeverifieerd e-mailadres voor mpi-inf.mpg.de
Xiaohui ShenByteDance ResearchGeverifieerd e-mailadres voor bytedance.com
Bilwaj GaonkarDepartment of Neurosurgery, University of California Los AngelesGeverifieerd e-mailadres voor mednet.ucla.edu
Yangming OuHarvard Medical SchoolGeverifieerd e-mailadres voor childrens.harvard.edu

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Ning Yu

Salesforce Research

Geverifieerd e-mailadres voor salesforce.com - Homepage

Computer Vision Visual Security Deep Generative Modeling


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints N Yu, L Davis, M Fritz IEEE International Conference on Computer Vision (ICCV), 2019	382*	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	273	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	113	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	48	2020
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	44	2021
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	43	2019
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	41	2022
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	35	2023
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Y He, N Yu, M Keuper, M Fritz International Joint Conference on Artificial Intelligence (IJCAI), 2021	32	2021
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	26	2022
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	26	2021
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	25	2021
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	24	2022
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	20	2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility D Chen, N Yu, M Fritz International Conference on Learning Representations (ICLR), 2022	18	2022
Long-Tailed Recognition Using Class-Balanced Experts S Sharma, N Yu, M Fritz, B Schiele DAGM German Conference on Pattern Recognition (GCPR), 2020	18	2020
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	17	2021
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	17	2018
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	16	2015
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Z Sha, X He, N Yu, M Backes, Y Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023	14	2023

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