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

  • 2024.02:  🎉 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

CVPR 2024
sym

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)

ICSE 2024
sym

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)

AAAI 2024
sym

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)

ICDE 2024
sym

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)

TMM 2023
sym

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)

TCSVT 2023
sym

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)

RTSS 2023
sym

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)

ACM MM 2023
sym

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)

CVPR 2023
sym

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)

IJCV 2023
sym

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)

TIFS 2022
sym

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)

ACM MM 2021
sym

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)

FSE 2020
sym

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)

ACM MM 2020 (Oral)
sym

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)

ACM MM 2020 (Oral)
sym

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)

ACM MM 2020 (Oral)
sym

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)

IJCAI 2020
sym

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)

ASE 2019
sym

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: AAAI, CVPR, ICCV, IJCAI, ECCV, ACMMM
  • 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

  • 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”.