多媒体取证

* 同等贡献, # 通讯作者

• Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection. Yunfei Li, Yuezun Li^#, Xin Wang, Baoyuan Wu, Jiaran Zhou, Junyu Dong. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. [CVF之一]
• FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge. Hanzhe Li, Jiaran Zhou, Yuezun Li^#, Baoyuan Wu, Bin Li, Junyu Dong. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [CCF A]
• DPL: Cross-quality DeepFake Detection via Dual Progressive Learning. Dongliang Zhang, Yunfei Li, Jiaran Zhou, Yuezun Li^#. Asian Conference on Computer Vision (ACCV), 2024. [CCF C, acceptance rate: 32%]
• Enhancing Deepfake Detection via Adversarial Generative Learning. Zengqiang Chen, Xudong Wang, Yuezun Li^#. Chinese Conference on Biometric Recognition (CCBR), 2024.
• FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection. Yangxiang Zhang, Yuezun Li^#, Ao Luo, Jiaran Zhou, Junyu Dong. British Machine Vision Conference (BMVC), 2024. [CCF C, acceptance rate: 25.8%]
• Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection. Ying Zhang, Yuezun Li^#, Bo Peng, Jiaran Zhou, Huiyu Zhou, Junyu Dong. British Machine Vision Conference (BMVC), 2024. [CCF C, acceptance rate: 25.8%]
• DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation. Qingxuan Lv+, Yuezun Li^#, Junyu Dong^#, Sheng Chen, Hui Yu, Huiyu Zhou, Shu Zhang. IEEE Transactions on Information Forensics and Security (TIFS), 2024. [CCF A][中科院一区]
• Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection. Yuzhen Lin, Wentang Song, Bin Li, Yuezun Li, Jiangqun Ni, Han Chen, Qiushi Li. European Conference on Computer Vision (ECCV), 2024. [CCF B][视觉顶会]
• COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection. Cong Zhang, Honggang Qi, Shuhui Wang, Yuezun Li^#, Siwei Lyu. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. [CCF B][中科院一区]
• ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces. Jiucui Lu, Jiaran Zhou, Junyu Dong, Bin Li, Siwei Lyu, Yuezun Li^#. IEEE Transactions on Information Forensics and Security (TIFS), 2024. [CCF A][中科院一区]
• FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training. Pu Sun, Honggang Qi, Yuezun Li^#, Siwei Lyu. IEEE Transactions on Emerging Topics in Computing (TETC), 2024. [中科院二区]
• LandmarkBreaker: A Proactive Method to Obstruct DeepFakes via Disrupting Facial Landmark Extraction. Yuezun Li, Pu Sun, Honggang Qi, Siwei Lyu. Computer Vision and Image Understanding (CVIU), 2024. [CCF B]
• Forensics Forest: Multi-scale Hierarchical Cascade Forest for Detecting GAN-generated Faces. Jiucui Lu, Yuezun Li^#, Jiaran Zhou, Bin Li, Siwei Lyu. IEEE International Conference on Multimedia and Expo (ICME), 2023. [CCF B] [Oral]
• Face Poison: Obstructing DeepFakes by Disrupting Face Detection. Yuezun Li, Jiaran Zhou, Siwei Lyu. IEEE International Conference on Multimedia and Expo (ICME), 2023. [CCF B]
• Watching the BiG Artifacts: Exposing DeepFake Videos via Bi-Granularity Artifacts. Han Chen^*, Yuezun Li^*, Dongdong Lin, Bin Li, Junqiang Wu. Pattern Recognition (PR), 2023. [CCF B]
• Learning a Deep Dual-level Network for Robust DeepFake Detection Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Qi Song, Xi Wu, Siwei Lyu. Pattern Recognition (PR), 2022. [CCF B]
• Detection-by-Simulation: Exposing DeepFake via Simulating Forgery using Face Reconstruction Jiaran Zhou, Yuezun Li^#. IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022.
• [Book Chapter 4] Toward the Creation and Obstruction of DeepFakes. Yuezun Li, Pu Sun, Honggang Qi, Siwei Lyu. Handbook of Digital Face Manipulation and Detection, 2022. Springer.
• [Book Chapter 12] Obstructing DeepFakes by Disrupting Face Detection and Facial Landmarks Extraction. Yuezun Li, Siwei Lyu. Deep Learning-Based Face Analytics, 2021. Springer.
• DFGC 2021: A DeepFake Game Competition. Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, etc. International Joint Conference on Biometrics (IJCB), 2021. [CCF C]
• DeepFake-o-meter: An Open Platform for DeepFake Detection. Yuezun Li,Cong Zhang, Pu Sun, Lipeng Ke, Yan Ju, Honggang Qi, Siwei Lyu. Systematic Approaches to Digital Forensic Engineering, in conjunction with the IEEE Security and Privacy Smposium (S&P), 2021.
• Imperceptible Adversarial Examples For Fake Image Detection.. Quanyu Liao, Yuezun Li, Xin Wang, Bin Kong, Bin Zhu, Siwei Lyu, Youbing Yin, Qi Song , Xi Wu. IEEE Conference on Image Processing (ICIP), 2021. [CCF C]
• Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights. Shu Hu, Yuezun Li, Siwei Lyu. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021. [CCF B] [Bibtex]

  @inproceedings{hu2021corneal,
                                                  author={Hu, Shu and Li, Yuezun and Lyu, Siwei},
                                                  title={Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights},
                                                  booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
                                                  year={2021}}
                                              

  [Project page]
• Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction. Pu Sun^*, Yuezun Li^*, Honggang Qi, Siwei Lyu. IEEE International Workshop on Information Forensics and Security (WIFS), 2020. [Bibtex]

  @inproceedings{sun2020landmarkbreaker,
                                                      author = {Pu Sun and Yuezun Li and Honggang Qi and Siwei Lyu},
                                                      title = {Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction},
                                                      booktitle= {IEEE International Workshop on Information Forensics and Security (WIFS)},
                                                      year = {2020}}
                                              

  
• Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics. Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [CCF A] [Bibtex]

  @inproceedings{Celeb_DF_cvpr20,
                                                      author = {Yuezun Li and Xin Yang and Pu Sun and Honggang Qi and Siwei Lyu},
                                                      title = {Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics},
                                                      booktitle= {IEEE Conference on Computer Vision and Patten Recognition (CVPR)},
                                                      year = {2020}}
                                              

  [Celeb-DF dataset]
• Exposing DeepFake Videos By Detecting Face Warping Artifacts. Yuezun Li, Siwei Lyu. IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2019. [Bibtex]

  @inproceedings{li2019fwa,
                                                  author={Li, Yuezun and Lyu, Siwei},
                                                  title={Exposing DeepFake Videos By Detecting Face Warping Artifacts},
                                                  booktitle={IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW)},
                                                  year={2019}}
                                              

  [Code]
• De-identification Without Losing Faces. Yuezun Li, Siwei Lyu. ACM Workshop on Information Hiding and Multimedia Security (IHMMSec), 2019. [CCF C] [Bibtex]

  @inproceedings{li2019deid,
                                                  author={Li, Yuezun and Lyu, Siwei},
                                                  title={De-identification Without Losing Faces},
                                                  booktitle={ACM Workshop on Information Hiding and Multimedia Security (IHMMSec)},
                                                  year={2019}}
                                              

  
• Exposing GAN-synthesized Faces Using Landmark Locations. Xin Yang, Yuezun Li, Honggang Qi, Siwei Lyu. ACM Workshop on Information Hiding and Multimedia Security (IHMMSec), 2019. [CCF C] [Bibtex]

  @inproceedings{yang2019exposinggan,
                                                  author={Yang, Xin and Li, Yuezun and Qi, Honggang and Lyu, Siwei},
                                                  title={Exposing GAN-synthesized Faces Using Landmark Locations},
                                                  booktitle={ACM Workshop on Information Hiding and Multimedia Security (IHMMSec)},
                                                  year={2019}}
                                              

  
• Exposing Deep Fakes Using Inconsistent Head Poses. Xin Yang^*, Yuezun Li^*, Siwei Lyu. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019. [CCF B] [Bibtex]

  @inproceedings{yang2019headpose,
                                                  author={Yang, Xin and Li, Yuezun and Lyu, Siwei},
                                                  title={Exposing GAN-synthesized Faces Using Landmark Locations},
                                                  booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
                                                  year={2019}}
                                              

  [Code]
• In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. Yuezun Li, Ming-Ching Chang, Siwei Lyu. IEEE International Workshop on Information Forensics and Security (WIFS), 2018. [Bibtex]

  @inproceedings{li2018ictu,
                                                      title={In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking},
                                                      author={Li, Yuezun and Chang, Ming-Ching and Lyu, Siwei},
                                                      Booktitle={IEEE International Workshop on Information Forensics and Security (WIFS)},
                                                      year={2018}}
                                              

  [Code][UADFV dataset]

深度模型安全

• Enhancing Adversarial Robustness of DNNs via Weight Decorrelation in Training. Cong Zhang, Yuezun Li, Honggang Qi, Siwei Lyu. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
• AdaNI: Adaptive Noise Injection to Improve Adversarial Robustness. Yuezun Li, Cong Zhang, Honggang Qi, Siwei Lyu. Computer Vision and Image Understanding (CVIU), 2023. [CCF B]
• Improving Transferable Adversarial Attack via Feature-Momentum. Xianglong He, Yuezun Li^#, Haipeng Qu, Junyu Dong. Computers & Security (COSE), 2023. [CCF B]
• TransRPN: Towards the Transferable Adversarial Perturbations Using Region Proposal Networks and Beyond Yuezun Li, Ming-Ching Chang, Pu Sun, Honggang Qi, Junyu Dong, Siwei Lyu. International Journal on Computer Vision and Image Understanding (CVIU), 2021. [CCF B]
• Invisible Backdoor Attack with Sample-Specific Triggers. Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu. IEEE International Conference on Computer Vision (ICCV), 2021. [CCF A]
• Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches. Yuezun Li, Xiao Bian, Ming-Ching Chang, Siwei Lyu. The British Machine Vision Conference (BMVC), 2019. [CCF C] [Bibtex]

  @inproceedings{li2019ibp,
                                                      author={Li, Yuezun and Bian, Xiao and Chang, Mingching and Lyu, Siwei},
                                                      title={Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches},
                                                      booktitle={The British Machine Vision Conference (BMVC)},
                                                      year={2019}}
                                                  

  
• Robust Adversarial Perturbation on Deep Proposal-based Models. Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu. The British Machine Vision Conference (BMVC), 2018. [CCF C] [Bibtex]

  @inproceedings{li2018rap,
                                                          author={Li, Yuezun and Tian, Daniel and Chang, Mingching and Bian, Xiao and Lyu, Siwei},
                                                          title={Robust Adversarial Perturbation on Deep Proposal-based Models},
                                                          booktitle={BMVC},
                                                          year={2018}}
                                                  

  [Code]

计算机视觉

• Dynamic Soft Labeling for Visual Semantic Embedding. Jiaao Yua, Yunlai Ding, Junyu Dong, Yuezun Li. ACM International Conference on Multimedia Retrieval (ICMR), 2024. [CCF B]
• Multiview Adaptive Attention Pooling for Image-Text Retrieval. Yunlai Ding, Jiaao Yua, Qingxuan Lv, Haoran Zhao, Junyu Dong, Yuezun Li. Knowledge-Based Systems (KBS), 2024. [CCF C][中科院一区]
• PMOT2023: A large-scale multi-object tracking (MOT) dataset with application to phytoplankton observation. Jiaao Yu, Qingxuan Lv, Yuezun Li^#, Junyu Dong^#, Haoran Zhao, Qiong Li. Journal of Marine Science and Engineering (JMSE), 2023. (interdiscipline)
• LaFea: Learning Latent Representation beyond Feature for Universal Domain Adaptation. Qingxuan Lyu, Yuezun Li^#, Junyu Dong^#, Ziqian Guo. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. [CCF B][中科院一区]
• Fast Portrait Segmentation with Highly Light-weight Network. Yuezun Li^*, Ao Luo^*, Siwei Lyu. IEEE International Conference on Image Processing (ICIP), 2020. [CCF C] [Bibtex]

  @inproceedings{li2020fastseg,
                                                          author = {Yuezun Li and Ao Luo and Siwei Lyu},
                                                          title = {Fast Portrait Segmentation with Highly Light-weight Network},
                                                          booktitle= {IEEE International Conference on Image Processing (ICIP)},
                                                          year = {2020}}
                                                  

  
• Graph-to-Graph Energy Minimization for Video Object Segmentation. Yuezun Li^*, Longyin Wen^*, Ming-Ching Chang, Siwei Lyu. IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2019. (Oral) [Bibtex]

  @inproceedings{li2019g2gvos,
                                                      author={Li, Yuezun and Wen, Longyin and Chang, Mingching and Lyu, Siwei},
                                                      title={Graph-to-Graph Energy Minimization for Video Object Segmentation},
                                                      booktitle={IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS)},
                                                      year={2019}}
                                                  

  
• Pixel Offset Regression (POR) for Single-shot Instance Segmentation. Yuezun Li, Xiao Bian, Ming-Ching Chang, Longyin Wen, Siwei Lyu. IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2018.
• UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei and et.al. IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2017.
• The Visual Object Tracking VOT2015 Challenge Results. (as participating team). IEEE International Conference on Computer Vision (ICCV) Workshops, 2015.
• The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. (as participating team). IEEE International Conference on Computer Vision (ICCV) Workshops, 2015.