Yihao Huang

According to our database, Yihao Huang authored at least 50 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering.

Yihao Huang, Felix Juefei-Xu, Qing Guo, Yang Liu, Geguang Pu

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network.

Yihao Huang, Felix Juefei-Xu, Qing Guo, Geguang Pu, Yang Liu

IEEE Trans. Multim., 2024

Texture Re-Scalable Universal Adversarial Perturbation.

Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu

IEEE Trans. Inf. Forensics Secur., 2024

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.

Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, Han Yu

Proc. ACM Manag. Data, 2024

Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models.

Fan Yang, Yihao Huang, Kailong Wang, Ling Shi, Geguang Pu, Yang Liu, Haoyu Wang

CoRR, 2024

Investigating Coverage Criteria in Large Language Models: An In-Depth Study Through Jailbreak Attacks.

Shide Zhou, Tianlin Li, Kailong Wang, Yihao Huang, Ling Shi, Yang Liu, Haoyu Wang

CoRR, 2024

RT-Attack: Jailbreaking Text-to-Image Models via Random Token.

Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Liu, Qing Guo

CoRR, 2024

Perception-guided Jailbreak against Text-to-Image Models.

Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu

CoRR, 2024

NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing.

Shide Zhou, Tianlin Li, Yihao Huang, Ling Shi, Kailong Wang, Yang Liu, Haoyu Wang

CoRR, 2024

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models.

Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin

CoRR, 2024

Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake.

Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Run Wang, Geguang Pu, Yang Liu

CoRR, 2024

Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs.

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu

CoRR, 2024

MIP: CLIP-based Image Reconstruction from PEFT Gradients.

Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen

CoRR, 2024

Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective.

Yihao Huang, Kaiyuan Yu, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Tianlin Li, Geguang Pu, Yang Liu

CoRR, 2024

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination.

Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Architecture-Agnostic Iterative Black-Box Certified Defense Against Adversarial Patches.

Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu

Proceedings of the IEEE International Conference on Acoustics, 2024

CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-Off in Machine Learning.

Simiao Zhang, Jitao Bai, Menghong Guan, Yueling Zhang, Jun Sun, Yihao Huang, Jiaping Wang, Chengcheng Wan, Ting Su, Geguang Pu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Cosalpure: Learning Concept from Group Images for Robust Co-Saliency Detection.

Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection.

Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen

CoRR, 2023

TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation.

Xiaojun Jia, Jindong Gu, Yihao Huang, Simeng Qin, Qing Guo, Yang Liu, Xiaochun Cao

CoRR, 2023

AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems.

Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2023

Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation.

Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2023

Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework.

Simiao Zhang, Jitao Bai, Menghong Guan, Yihao Huang, Yueling Zhang, Jun Sun, Geguang Pu

CoRR, 2023

On the Robustness of Segment Anything.

Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo

CoRR, 2023

FedMR: Federated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen

CoRR, 2023

Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization.

Yihao Huang, Qing Guo, Felix Juefei-Xu

CoRR, 2023

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

Proceedings of the IEEE Real-Time Systems Symposium, 2023

ALA: Naturalness-aware Adversarial Lightness Attack.

Yihao Huang, Liangru Sun, Qing Guo, Felix Juefei-Xu, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Evading DeepFake Detectors via Adversarial Statistical Consistency.

Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

FakeLocator: Robust Localization of GAN-Based Face Manipulations.

Yihao Huang, Felix Juefei-Xu, Qing Guo, Yang Liu, Geguang Pu

IEEE Trans. Inf. Forensics Secur., 2022

Countering Malicious DeepFakes: Survey, Battleground, and Horizon.

Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, Yang Liu

Int. J. Comput. Vis., 2022

GitFL: Adaptive Asynchronous Federated Learning using Version Control.

Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation.

Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

ALA: Adversarial Lightness Attack via Naturalness-aware Regularizations.

Liangru Sun, Felix Juefei-Xu, Yihao Huang, Qing Guo, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu

CoRR, 2022

Masked Faces with Faced Masks.

Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

AdvBokeh: Learning to Adversarially Defocus Blur.

Yihao Huang, Felix Juefei-Xu, Qing Guo, Weikai Miao, Yang Liu, Geguang Pu

CoRR, 2021

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

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise.

Yihao Huang, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu

CoRR, 2020

FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles.

Yihao Huang, Felix Juefei-Xu, Run Wang, Xiaofei Xie, Lei Ma, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu

CoRR, 2020

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

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

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

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Amora: Black-box Adversarial Morphing Attack.

Run Wang, Felix Juefei-Xu, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Yang Liu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

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

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Amora: Black-box Adversarial Morphing Attack.

Run Wang, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Yihao Huang, Yang Liu

CoRR, 2019

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

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

A Domain Experts Centric Approach to Formal Requirements Modeling and V&V of Embedded Control Software.

Weikai Miao, Qianqian Yan, Yihao Huang, Jincao Feng, Hanyue Zheng

Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019