Yihao Huang

According to our database, Yihao Huang authored at least 68 papers between 2019 and 2025.

Collaborative distances:

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

2025

Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models.

Shiqian Zhao, Chong Wang, Yiming Li, Yihao Huang, Wenjie Qu, Siew-Kei Lam, Yi Xie, Kangjie Chen, Jie Zhang, Tianwei Zhang

CoRR, August, 2025

Seeing It Before It Happens: In-Generation NSFW Detection for Diffusion-Based Text-to-Image Models.

Fan Yang, Yihao Huang, Jiayi Zhu, Ling Shi, Geguang Pu, Jin Song Dong, Kailong Wang

CoRR, August, 2025

Time-variant Image Inpainting via Interactive Distribution Transition Estimation.

Yun Xing, Qing Guo, Xiaohong Li, Yihao Huang, Xiaofeng Cao, Di Lin, Ivor W. Tsang, Lei Ma

CoRR, June, 2025

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment.

Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu

CoRR, May, 2025

A Vision for Auto Research with LLM Agents.

Chengwei Liu, Chong Wang, Jiayue Cao, Jingquan Ge, Kun Wang, Lvye Zhang, Ming-Ming Cheng, Penghai Zhao, Tianlin Li, Xiaojun Jia, Xiang Li, Xinfeng Li, Yang Liu, Yebo Feng, Yihao Huang, Yijia Xu, Yuqiang Sun, Zhenhong Zhou, Zhengzi Xu

CoRR, April, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints.

Guanyu Wang, Kailong Wang, Yihao Huang, Mingyi Zhou, Zhang Qing cnwatcher, Geguang Pu, Li Li

CoRR, April, 2025

Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models.

Xiaojun Jia, Sensen Gao, Simeng Qin, Ke Ma, Xinfeng Li, Yihao Huang, Wei Dong, Yang Liu, Xiaochun Cao

CoRR, March, 2025

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models.

Lingzhi Yuan, Xinfeng Li, Chejian Xu, Guanhong Tao, Xiaojun Jia, Yihao Huang, Wei Dong, Yang Liu, XiaoFeng Wang, Bo Li

CoRR, January, 2025

Scale-Invariant Adversarial Attack Against Arbitrary-Scale Super-Resolution.

Yihao Huang, Xin Luo, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Weikai Miao, Geguang Pu, Yang Liu

IEEE Trans. Inf. Forensics Secur., 2025

PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage.

Wenyi Zhang, Ju Jia, Xiaojun Jia, Yihao Huang, Xinfeng Li, Cong Wu, Lina Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks.

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

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Perception-Guided Jailbreak Against Text-to-Image Models.

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Concept Guided Co-saliency Objection Detection.

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

CoRR, 2024

What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context.

Zhiyuan Chang, Mingyang Li, Xiaojun Jia, Junjie Wang, Yuekai Huang, Qing Wang, Yihao Huang, Yang Liu

CoRR, 2024

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models.

Ma Teng, Xiaojun Jia, Ranjie Duan, Li Xinfeng, Yihao Huang, Chu Zhixuan, Yang Liu, Wenqi Ren

CoRR, 2024

Global Challenge for Safe and Secure LLMs Track 1.

Xiaojun Jia, Yihao Huang, Yang Liu, Peng Yan Tan, Weng Kuan Yau, Mun-Thye Mak, Xin Ming Sim, Wee Siong Ng, See-Kiong Ng, Hanqing Liu, Lifeng Zhou, Huanqian Yan, Xiaobing Sun, Wei Liu, Long Wang, Yiming Qian, Yong Liu, Junxiao Yang, Zhexin Zhang, Leqi Lei, Renmiao Chen, Yida Lu, Shiyao Cui, Zizhou Wang, Shaohua Li, Yan Wang, Rick Siow Mong Goh, Liangli Zhen, Yingjie Zhang, Zhe Zhao

CoRR, 2024

Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack.

Xiaojun Jia, Sensen Gao, Qing Guo, Ke Ma, Yihao Huang, Simeng Qin, Yang Liu, Ivor W. Tsang, Xiaochun Cao

CoRR, 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

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

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