Mingyuan Fan

According to our database, Mingyuan Fan authored at least 30 papers between 2021 and 2025.

Collaborative distances:

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

2025

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook.

Mingyuan Fan, Chengyu Wang, Cen Chen, Yang Liu, Jun Huang

Int. J. Comput. Vis., July, 2025

Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack.

Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang

ACM Trans. Knowl. Discov. Data, February, 2025

CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models.

Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Mingyuan Chu, Xin Zhang, Jun Zhou

CoRR, February, 2025

Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning.

Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen

CoRR, January, 2025

Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions.

Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou

Proceedings of the ACM on Web Conference 2025, 2025

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models.

Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning.

Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Privacy-Enhancing and Robust Backdoor Defense for Federated Learning on Heterogeneous Data.

Zekai Chen, Shengxing Yu, Mingyuan Fan, Ximeng Liu, Robert H. Deng

IEEE Trans. Inf. Forensics Secur., 2024

EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts.

Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li

CoRR, 2024

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images.

Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu

CoRR, 2024

Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning.

Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness.

Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li

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

FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization.

Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts.

Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning.

Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Flatness-aware Adversarial Attack.

Mingyuan Fan, Xiaodan Li, Cen Chen, Yinggui Wang

CoRR, 2023

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey.

Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang

CoRR, 2023

Enhance Transferability of Adversarial Examples with Model Architecture.

Mingyuan Fan, Wenzhong Guo, Zuobin Ying, Ximeng Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

On the Robustness of Split Learning Against Adversarial Attacks.

Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Rethinking the Evaluation of Deep Neural Network Robustness.

Mingyuan Fan, Fuyi Wang, Bosheng Yan

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices.

Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, Ximeng Liu

IEEE Internet Things J., 2022

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning.

Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo

CoRR, 2022

MaskBlock: Transferable Adversarial Examples with Bayes Approach.

Mingyuan Fan, Cen Chen, Ximeng Liu, Wenzhong Guo

CoRR, 2022

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons.

Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu, Wenzhong Guo

CoRR, 2022

Case-Aware Adversarial Training.

Mingyuan Fan, Yang Liu, Wenzhong Guo, Ximeng Liu, Jianhua Li

CoRR, 2022

Enhance transferability of adversarial examples with model architecture.

Mingyuan Fan, Wenzhong Guo, Shengxing Yu, Zuobin Ying, Ximeng Liu

CoRR, 2022

Dynamically Selected Mixup Machine Unlearning.

Zhiwen Zhou, Ximeng Liu, Jiayin Li, Junxi Ruan, Mingyuan Fan

Proceedings of the IEEE International Conference on Trust, 2022

Backdoor Defense with Machine Unlearning.

Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma

Proceedings of the IEEE INFOCOM 2022, 2022

Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack.

Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Ximeng Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Towards Transferable Adversarial Examples Using Meta Learning.

Mingyuan Fan, Jia-Li Yin, Ximeng Liu, Wenzhong Guo

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021