I am a research fellow in Cyber Security Lab (CSL), NTU, Singapore, advised by Prof. Yang Liu. I got Ph.D. from East China Normal University (ECNU), Shanghai, China (2017-2022), supervised by Prof. Geguang Pu and Prof. Weikai Miao. I also received my B.S. degree from ECNU (2013-2017). I also collaborate with Dr. Qing Guo and Dr. Felix Juefei Xu closely.
My research interest includes AI security in computer vision, focusing on DeepFake, Adversarial Attacks, LLM, etc.
🔥 News
- 2024.06: 🎉 One paper is accepted to TIFS 2024.
- 2024.02: 🎉 One paper is accepted to CVPR 2024.
- 2023.12: 🎉 One paper is accepted to ICSE 2024.
- 2023.12: 🎉 One paper is accepted to AAAI 2024.
- 2023.12: 🎉 One paper is accepted to ICDE 2024.
- 2023.11: 🎉 One paper is accepted to TMM.
- 2023.10: 🎉 One paper is accepted to TCSVT.
- 2023.07: 🎉 One paper is accepted to RTSS 2023.
- 2023.07: 🎉 One paper is accepted to ACM MM 2023.
- 2023.02: 🎉 One paper is accepted to CVPR 2023.
- 2022.10: 🎉 We are awarded the Best Paper Award in ECCV 2022 AROW workshop.
- 2022.02: 🎉 I obtained the Outstanding Graduate of Shanghai 2022.
- 2021.10: 🎉 I obtained the National Graduate Fellowship 2022.
📝 Publications
![sym](pub_images/2024TIFS_TSC_UAP.png)
Texture Re-scalable Universal Adversarial Perturbation
Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu
IEEE Transactions on Information Forensics and Security 2024 (CCF-A)
![sym](pub_images/2024CVPR_COSALPURE.jpg)
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection
Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu
Computer Vision and Pattern Recognition 2024 (CCF-A)
![sym](pub_images/2024ICSE_RUNNER.jpg)
RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness
Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu
International Conference on Software Engineering 2024 (CCF-A)
![sym](pub_images/2024AAAI_PersonalizationBackdoor.jpg)
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu
AAAI Conference on Artificial Intelligence 2024 (CCF-A)
![sym](pub_images/2024ICDE_FedCross.jpg)
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation
Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen
IEEE International Conference on Data Engineering 2024 (CCF-A)
![sym](pub_images/2023TMM_AdvBokeh.jpg)
Natural \& Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network)
Yihao Huang, Felix Juefei-Xu, Qing Guo, Geguang Pu, Yang Liu
IEEE Transactions on Multimedia 2023 (CCF-B)
![sym](pub_images/2023TCSVT_DeepNotch.jpg)
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering)
Yihao Huang, Felix Juefei-Xu, Qing Guo, Yang Liu, Geguang Pu
IEEE Transactions on Circuits and Systems for Video Technology 2023 (CCF-B)
![sym](pub_images/2023RTSS_GitFL.jpg)
GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning using Version Control
Ming Hu, Zeke Xia, DengKe Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen
IEEE Real-Time Systems Symposium 2023 (CCF-A)
![sym](pub_images/2023ACMMM_ALA.jpg)
ALA: Naturalness-aware Adversarial Lightness Attack
Yihao Huang, Liangru Sun, Qing Guo, Felix Juefei-Xu, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu
ACM International Conference on Multimedia 2023 (CCF-A)
![sym](pub_images/2023CVPR_DeepFakeEvading.jpg)
Evading DeepFake Detectors via Adversarial Statistical Consistency
Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CCF-A)
![sym](pub_images/2022IJCV_DeepFakeSurvey.jpg)
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, Yang Liu
International Journal of Computer Vision 2023 (CCF-A)
![sym](pub_images/2022TIFS_Fakelocator.jpg)
FakeLocator: Robust Localization of GAN-Based Face Manipulations
Yihao Huang, Felix Juefei-Xu, Qing Guo, Yang Liu, Geguang Pu
IEEE Transactions on Information Forensics and Security 2022 (CCF-A)
![sym](pub_images/2021ACMMM_Advfilter.jpg)
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
Yihao Huang, Qing Guo, Felix Juefei-Xu, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu
ACM International Conference on Multimedia 2021 (CCF-A)
![sym](pub_images/2020FSE_Frepa.jpg)
FREPA: an automated and formal approach to requirement modeling and analysis in aircraft control domain
Jincao Feng, Weikai Miao, Hanyue Zheng, Yihao Huang, Jianwen Li, Zheng Wang, Ting Su, Bin Gu, Geguang Pu, Mengfei Yang, Jifeng He
Foundations of Software Engineering 2020 (CCF-A)
![sym](pub_images/2020ACMMM_DeepSonar.jpg)
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu
ACM International Conference on Multimedia 2020 (CCF-A)
![sym](pub_images/2020ACMMM_Amora.jpg)
Amora: Black-box adversarial morphing attack
Run Wang, Felix Juefei-Xu, Xiaofei Xie, Yihao Huang, Yang Liu
ACM International Conference on Multimedia 2020 (CCF-A)
![sym](pub_images/2020ACMMM_FakePolisher.jpg)
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu
ACM International Conference on Multimedia 2020 (CCF-A)
![sym](pub_images/2020IJCAI_Fakespotter.jpg)
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu
International Joint Conference on Artificial Intelligence 2020 (CCF-A)
![sym](pub_images/2019ASE_Prema.jpg)
Prema: A Tool for Precise Requirements Editing, Modeling and Analysis
Yihao Huang, Jincao Feng, Hanyue Zheng, Jiayi Zhu, Shang Wang, Siyuan Jiang, Weikai Miao, Geguang Pu
IEEE/ACM International Conference on Automated Software Engineering 2019 (Tool paper)
💻 Service
Reviewer:
- Conference: NeurIPS, AAAI, CVPR, ICCV, IJCAI, ECCV, ACM MM
- Journal: TCSVT, IJCV, NN, CVIU
🎖 Honors and Awards
- 2022.10 Best Paper Award in ECCV 2022 AROW workshop
- 2022.02 Outstanding Graduate of Shanghai.
- 2021.10 National Graduate Fellowship, China.
📖 Educations
- 2017.09 - 2022.06, East China Normal University, Ph.D.
- 2013.09 - 2017.06, East China Normal University, Bachelor.
- 2010.09 - 2013.06, Shanghai Gezhi High School.
💬 Invited Talks
- 2024.07, WAIC, China, Title “Academic Thinking and Future Prospects on DeepFake Detection and Adversarial Attack”.
- 2023.09, UTOPILOT, China, Title “Robustness Evaluation of Visual Perception Systems”. | Slide
- 2021.10, Valse 2021, China, Title “AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning”.