Huayang Huang

According to our database, Huayang Huang authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

BNMusic: Blending Environmental Noises into Personalized Music.

Chi Zuo, Martin Bo Møller, Pablo Martínez-Nuevo, Huayang Huang, Yu Wu, Ye Zhu

CoRR, June, 2025

Implicit Bias Injection Attacks against Text-to-Image Diffusion Models.

Huayang Huang, Xiangye Jin, Jiaxu Miao, Yu Wu

CoRR, April, 2025

Redistribute Ensemble Training for Mitigating Memorization in Diffusion Models.

Xiaoliu Guan, Yu Wu, Huayang Huang, Xiao Liu, Jiaxu Miao, Yi Yang

CoRR, February, 2025

Implicit Bias Injection Attacks against Text-to-Image Diffusion Models.

Huayang Huang, Xiangye Jin, Jiaxu Miao, Yu Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

KerbNet: A QoE-Aware Kernel-Based Backdoor Attack Framework.

Xueluan Gong, Yanjiao Chen, Huayang Huang, Weihan Kong, Ziyao Wang, Chao Shen, Qian Wang

IEEE Trans. Dependable Secur. Comput., 2024

The Silent Prompt: Initial Noise as Implicit Guidance for Goal-Driven Image Generation.

Ruoyu Wang, Huayang Huang, Ye Zhu, Olga Russakovsky, Yu Wu

CoRR, 2024

Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation.

Ke Zhao, Huayang Huang, Miao Li, Yu Wu

CoRR, 2024

Hijacking Attacks against Neural Networks by Analyzing Training Data.

Yunjie Ge, Qian Wang, Huayang Huang, Qi Li, Cong Wang, Chao Shen, Lingchen Zhao, Peipei Jiang, Zheng Fang, Shenyi Zhang

CoRR, 2024

Hijacking Attacks against Neural Network by Analyzing Training Data.

Yunjie Ge, Qian Wang, Huayang Huang, Qi Li, Cong Wang, Chao Shen, Lingchen Zhao, Peipei Jiang, Zheng Fang, Shenyi Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization.

Huayang Huang, Yu Wu, Qian Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

B³: Backdoor Attacks against Black-box Machine Learning Models.

Xueluan Gong, Yanjiao Chen, Wenbin Yang, Huayang Huang, Qian Wang

ACM Trans. Priv. Secur., November, 2023

Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation.

Xueluan Gong, Yanjiao Chen, Wang Yang, Qian Wang, Yuzhe Gu, Huayang Huang, Chao Shen

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Orion: Online Backdoor Sample Detection via Evolution Deviance.

Huayang Huang, Qian Wang, Xueluan Gong, Tao Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Coordinated Backdoor Attacks against Federated Learning with Model-Dependent Triggers.

Xueluan Gong, Yanjiao Chen, Huayang Huang, Yuqing Liao, Shuai Wang, Qian Wang

IEEE Netw., 2022

2021

Defense-Resistant Backdoor Attacks Against Deep Neural Networks in Outsourced Cloud Environment.

Xueluan Gong, Yanjiao Chen, Qian Wang, Huayang Huang, Lingshuo Meng, Chao Shen, Qian Zhang

IEEE J. Sel. Areas Commun., 2021

2020

Backdoor Attacks and Defenses for Deep Neural Networks in Outsourced Cloud Environments.

Yanjiao Chen, Xueluan Gong, Qian Wang, Xing Di, Huayang Huang

IEEE Netw., 2020