Ning Yu (PhD Student)

“Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.

@inproceedings{Yu_ICCV21B,
TITLE = {Artificial Fingerprinting for Generative Models: {R}ooting Deepfake Attribution in Training Data},
AUTHOR = {Yu, Ning and Skripniuk, Vladislav and Abdelnabi, Sahar and Fritz, Mario},
LANGUAGE = {eng},
ISBN = {978-1-6654-2812-5},
DOI = {10.1109/ICCV48922.2021.01418},
PUBLISHER = {IEEE},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {ICCV 2021, IEEE/CVF International Conference on Computer Vision},
PAGES = {14428--14437},
ADDRESS = {Virtual Event},
}

%0 Conference Proceedings
%A Yu, Ning
%A Skripniuk, Vladislav
%A Abdelnabi, Sahar
%A Fritz, Mario
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
%T Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000A-C9E0-6
%R 10.1109/ICCV48922.2021.01418
%D 2021
%B IEEE/CVF International Conference on Computer Vision
%Z date of event: 2021-10-11 - 2021-10-17
%C Virtual Event
%B ICCV 2021
%P 14428 - 14437
%I IEEE
%@ 978-1-6654-2812-5

“Dual Contrastive Loss and Attention for GANs,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.

@inproceedings{Yu_ICCV21,
TITLE = {Dual Contrastive Loss and Attention for {GANs}},
AUTHOR = {Yu, Ning and Liu, Guilin and Dundar, Aysegul and Tao, Andrew and Catanzaro, Bryan and Davis, Larry and Fritz, Mario},
LANGUAGE = {eng},
ISBN = {978-1-6654-2812-5},
DOI = {10.1109/ICCV48922.2021.00666},
PUBLISHER = {IEEE},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {ICCV 2021, IEEE/CVF International Conference on Computer Vision},
PAGES = {6711--6722},
ADDRESS = {Virtual Event},
}

%0 Conference Proceedings
%A Yu, Ning
%A Liu, Guilin
%A Dundar, Aysegul
%A Tao, Andrew
%A Catanzaro, Bryan
%A Davis, Larry
%A Fritz, Mario
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
%T Dual Contrastive Loss and Attention for GANs : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000A-CEF8-7
%R 10.1109/ICCV48922.2021.00666
%D 2021
%B IEEE/CVF International Conference on Computer Vision
%Z date of event: 2021-10-11 - 2021-10-17
%C Virtual Event
%B ICCV 2021
%P 6711 - 6722
%I IEEE
%@ 978-1-6654-2812-5

“Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.

@inproceedings{wang21cvpr,
TITLE = {Hijack-{GAN}: {U}nintended-Use of Pretrained, Black-Box {GAN}s},
AUTHOR = {Wang, Hui-Po and Yu, Ning and Fritz, Mario},
LANGUAGE = {eng},
ISBN = {978-1-6654-4509-2},
DOI = {10.1109/CVPR46437.2021.00778},
PUBLISHER = {IEEE},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)},
PAGES = {7868--7877},
ADDRESS = {Virtual Conference},
}

%0 Conference Proceedings
%A Wang, Hui-Po
%A Yu, Ning
%A Fritz, Mario
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
%T Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-1697-5
%R 10.1109/CVPR46437.2021.00778
%D 2021
%B 34th IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2021-06-19 - 2021-06-25
%C Virtual Conference
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 7868 - 7877
%I IEEE
%@ 978-1-6654-4509-2

“Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis,” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal, Canada, 2021.

@inproceedings{He_IJCAI2021,
TITLE = {Beyond the Spectrum: {D}etecting Deepfakes via Re-Synthesis},
AUTHOR = {He, Yang and Yu, Ning and Keuper, Margret and Fritz, Mario},
LANGUAGE = {eng},
ISBN = {978-0-9992411-9-6},
DOI = {10.24963/ijcai.2021/349},
PUBLISHER = {IJCAI},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2021)},
EDITOR = {Zhou, Zhi-Hua},
PAGES = {2534--2541},
ADDRESS = {Montreal, Canada},
}

%0 Conference Proceedings
%A He, Yang
%A Yu, Ning
%A Keuper, Margret
%A Fritz, Mario
%+ External Organizations
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0009-8833-4
%R 10.24963/ijcai.2021/349 
%D 2021
%B Thirtieth International Joint Conference on Artificial Intelligence
%Z date of event: 2021-08-19 - 2021-08-27
%C Montreal, Canada
%B Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
%E Zhou, Zhi-Hua
%P 2534 - 2541
%I IJCAI
%@ 978-0-9992411-9-6
%U https://www.ijcai.org/proceedings/2021/0349.pdf

“GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs,” in CCS ’20, ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, USA, 2020.

@inproceedings{chen20ccs,
TITLE = {{GAN}-Leaks: A Taxonomy of Membership Inference Attacks against {GANs}},
AUTHOR = {Chen, Dingfan and Yu, Ning and Zhang, Yang and Fritz, Mario},
LANGUAGE = {eng},
ISBN = {978-1-4503-7089-9},
DOI = {10.1145/3372297.3417238},
PUBLISHER = {ACM},
YEAR = {2020},
BOOKTITLE = {CCS '20, ACM SIGSAC Conference on Computer and Communications Security},
EDITOR = {Ligatti, Jay and Ou, Xinming and Katz, Jonathan and Vigna, Giovanni},
PAGES = {343--362},
ADDRESS = {Virtual Event, USA},
}

%0 Conference Proceedings
%A Chen, Dingfan
%A Yu, Ning
%A Zhang, Yang
%A Fritz, Mario
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0005-7489-E
%R 10.1145/3372297.3417238
%D 2020
%B ACM SIGSAC Conference on Computer and Communications Security
%Z date of event: 2020-11-09 - 2020-11-13
%C Virtual Event, USA
%B CCS '20
%E Ligatti, Jay; Ou, Xinming; Katz, Jonathan; Vigna, Giovanni
%P 343 - 362
%I ACM
%@ 978-1-4503-7089-9

“Inclusive GAN: Improving Data and Minority Coverage in Generative Models,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.

@inproceedings{yu20eccv,
TITLE = {Inclusive {GAN}: {I}mproving Data and Minority Coverage in Generative Models},
AUTHOR = {Yu, Ning and Li, Ke and Zhou, Peng and Malik, Jitendra and Davis, Larry and Fritz, Mario},
LANGUAGE = {eng},
ISBN = {978-3-030-58603-4},
DOI = {10.1007/978-3-030-58542-6_23},
PUBLISHER = {Springer},
YEAR = {2020},
DATE = {2020},
BOOKTITLE = {Computer Vision -- ECCV 2020},
EDITOR = {Vedali, Andrea and Bischof, Horst and Brox, Thomas and Frahm, Jan-Michael},
PAGES = {377--393},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {12373},
ADDRESS = {Glasgow, UK},
}

%0 Conference Proceedings
%A Yu, Ning
%A Li, Ke
%A Zhou, Peng
%A Malik, Jitendra
%A Davis, Larry
%A Fritz, Mario
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
%T Inclusive GAN: Improving Data and Minority Coverage in Generative Models : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-ACB6-A
%R 10.1007/978-3-030-58542-6_23
%D 2020
%B 16th European Conference on Computer Vision
%Z date of event: 2020-08-23 - 2020-08-28
%C Glasgow, UK
%B Computer Vision -- ECCV 2020
%E Vedali, Andrea; Bischof, Horst; Brox, Thomas; Frahm, Jan-Michael
%P 377 - 393
%I Springer
%@ 978-3-030-58603-4
%B Lecture Notes in Computer Science
%N 12373

“Long-Tailed Recognition Using Class-Balanced Experts,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.

@inproceedings{Sharma_GCPR2020,
TITLE = {Long-Tailed Recognition Using Class-Balanced Experts},
AUTHOR = {Sharma, Saurabh and Yu, Ning and Fritz, Mario and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-3-030-71277-8},
DOI = {10.1007/978-3-030-71278-5_7},
PUBLISHER = {Springer},
YEAR = {2020},
MARGINALMARK = {$\bullet$},
DATE = {2021},
BOOKTITLE = {Pattern Recognition (GCPR 2020)},
EDITOR = {Akata, Zeynep and Geiger, Andreas and Sattler, Torsten},
PAGES = {86--100},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {T{\"u}bingen, Germany},
}

%0 Conference Proceedings
%A Sharma, Saurabh
%A Yu, Ning
%A Fritz, Mario
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Long-Tailed Recognition Using Class-Balanced Experts : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-80CE-0
%R 10.1007/978-3-030-71278-5_7
%D 2021
%B 42nd German Conference on Pattern Recognition
%Z date of event: 2020-09-28 - 2020-10-01
%C Tübingen, Germany
%B Pattern Recognition
%E Akata, Zeynep; Geiger, Andreas; Sattler, Torsten
%P 86 - 100
%I Springer
%@ 978-3-030-71277-8
%B Lecture Notes in Computer Science

“Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.

@inproceedings{Yu_CVPR2019,
TITLE = {Texture Mixer: {A} Network for Controllable Synthesis and Interpolation of Texture},
AUTHOR = {Yu, Ning and Barnes, Connelly and Shechtman, Eli and Amirghodsi, Sohrab and Luk{\'a}{\v c}, Michal},
LANGUAGE = {eng},
ISBN = {978-1-7281-3293-8},
DOI = {10.1109/CVPR.2019.01244},
PUBLISHER = {IEEE},
YEAR = {2019},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)},
PAGES = {12156--12165},
ADDRESS = {Long Beach, CA, USA},
}

%0 Conference Proceedings
%A Yu, Ning
%A Barnes, Connelly
%A Shechtman, Eli
%A Amirghodsi, Sohrab
%A Lukáč, Michal
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
%T Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0003-95F9-C
%R 10.1109/CVPR.2019.01244
%D 2019
%B 32nd IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2019-06-16 - 2019-06-20
%C Long Beach, CA, USA
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 12156 - 12165
%I IEEE
%@ 978-1-7281-3293-8

“Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.

@inproceedings{Yu_ICCV2019,
TITLE = {Attributing Fake Images to {GANs}: {L}earning and Analyzing {GAN} Fingerprints},
AUTHOR = {Yu, Ning and Davis, Larry and Fritz, Mario},
LANGUAGE = {eng},
ISBN = {978-1-7281-4803-8},
DOI = {10.1109/ICCV.2019.00765},
PUBLISHER = {IEEE},
YEAR = {2019},
DATE = {2019},
BOOKTITLE = {International Conference on Computer Vision (ICCV 2019)},
PAGES = {7555--7565},
ADDRESS = {Seoul, Korea},
}

%0 Conference Proceedings
%A Yu, Ning
%A Davis, Larry
%A Fritz, Mario
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0002-95F8-E
%R 10.1109/ICCV.2019.00765
%D 2019
%B International Conference on Computer Vision
%Z date of event: 2019-10-27 - 2019-11-02
%C Seoul, Korea
%B International Conference on Computer Vision
%P 7555 - 7565
%I IEEE
%@ 978-1-7281-4803-8