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Mingyuan Fan 0003
Person information
- affiliation: East China Normal University, Shanghai, China
Other persons with the same name
- Mingyuan Fan — disambiguation page
- Mingyuan Fan 0001 — State Administration of Cultural Heritage, Beijing, China (and 1 more)
- Mingyuan Fan 0002
— Meituan, Beijing, China
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2020 – today
- 2026
[j5]Ruifeng Yang, Mingyuan Fan, Fengran Mo, Hua Wei, Cen Chen:
Dynamic asymmetric relational learning for stock price movement prediction. Data Min. Knowl. Discov. 40(4): 41 (2026)
[i19]Mingyuan Fan, Weiguang Han, Daixin Wang, Cen Chen, Zhiqiang Zhang, Jun Zhou:
When Sharpening Becomes Collapse: Sampling Bias and Semantic Coupling in RL with Verifiable Rewards. CoRR abs/2601.15609 (2026)- 2025
[j4]Mingyuan Fan
, Chengyu Wang
, Cen Chen
, Yang Liu
, Jun Huang
:
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook. Int. J. Comput. Vis. 133(7): 4317-4348 (2025)
[j3]Mingyuan Fan
, Cen Chen
, Chengyu Wang
, Jun Huang
:
Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack. ACM Trans. Knowl. Discov. Data 19(2): 52:1-52:18 (2025)
[c20]Fuyi Wang, Fangyuan Sun, Mingyuan Fan, Jianying Zhou, Jin Ma, Chao Chen, Jiangang Shu, Leo Yu Zhang:
FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments. ACSAC 2025: 411-424
[c19]Mingyuan Fan
, Cen Chen
, Wenmeng Zhou
, Yinggui Wang
:
Transferable Adversarial Examples with Bayesian Approach. AsiaCCS 2025: 517-529
[c18]Fuyi Wang, Zekai Chen, Mingyuan Fan, Jianying Zhou, Lei Pan, Leo Yu Zhang:
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks. FC (2) 2025: 347-365
[c17]Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen:
Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning. ICLR 2025
[c16]Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li:
Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. ICLR 2025
[c15]Mingyuan Fan, Fuyi Wang, Cen Chen, Jianying Zhou:
Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings. USENIX Security Symposium 2025: 2985-3004
[c14]Mingyuan Fan, Cen Chen, Chengyu Wang, Xiaodan Li, Wenmeng Zhou:
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. USENIX Security Symposium 2025: 3005-3024
[c13]Zhiwen Li
, Die Chen
, Mingyuan Fan
, Cen Chen
, Yaliang Li
, Yanhao Wang
, Wenmeng Zhou
:
Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. WWW 2025: 1588-1601
[i18]Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen:
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning. CoRR abs/2501.12736 (2025)
[i17]Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Mingyuan Chu, Xin Zhang, Jun Zhou:
CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models. CoRR abs/2502.11379 (2025)
[i16]Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou:
Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. CoRR abs/2505.15427 (2025)
[i15]Mingyuan Fan, Fuyi Wang, Cen Chen, Jianying Zhou:
Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings. CoRR abs/2506.08435 (2025)
[i14]Fuyi Wang, Fangyuan Sun, Mingyuan Fan, Jianying Zhou, Jin Ma, Chao Chen, Jiangang Shu, Leo Yu Zhang:
FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments. CoRR abs/2511.02176 (2025)
[i13]Fuyi Wang, Zekai Chen, Mingyuan Fan, Jianying Zhou, Lei Pan, Leo Yu Zhang:
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks. CoRR abs/2511.02185 (2025)- 2024
[j2]Zekai Chen
, Shengxing Yu, Mingyuan Fan
, Ximeng Liu
, Robert H. Deng
:
Privacy-Enhancing and Robust Backdoor Defense for Federated Learning on Heterogeneous Data. IEEE Trans. Inf. Forensics Secur. 19: 693-707 (2024)
[c12]Panjia Qiu
, Guanghao Zhou
, Mingyuan Fan
, Cen Chen
, Yaliang Li
, Wenming Zhou
:
SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. CIKM 2024: 1920-1929
[c11]Guanghao Zhou
, Panjia Qiu
, Mingyuan Fan
, Cen Chen
, Yaliang Li
, Wenmeng Zhou
:
LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. CIKM 2024: 3463-3473
[c10]Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang
:
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. ICPADS 2024: 246-253
[c9]Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li:
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness. NeurIPS 2024
[c8]Mingyuan Fan
, Yang Liu
, Cen Chen
, Chengyu Wang
, Minghui Qiu
, Wenmeng Zhou
:
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. WSDM 2024: 190-198
[i12]Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu:
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images. CoRR abs/2407.11073 (2024)
[i11]Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li:
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. CoRR abs/2408.01014 (2024)
[i10]Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang:
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. CoRR abs/2409.00116 (2024)- 2023
[c7]Mingyuan Fan, Fuyi Wang, Bosheng Yan:
Rethinking the Evaluation of Deep Neural Network Robustness. ADMA (4) 2023: 532-547
[c6]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning Against Adversarial Attacks. ECAI 2023: 668-675
[c5]Mingyuan Fan, Wenzhong Guo, Zuobin Ying
, Ximeng Liu:
Enhance Transferability of Adversarial Examples with Model Architecture. ICASSP 2023: 1-5
[i9]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning against Adversarial Attacks. CoRR abs/2307.07916 (2023)
[i8]Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang:
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. CoRR abs/2307.16680 (2023)
[i7]Mingyuan Fan, Xiaodan Li, Cen Chen, Yinggui Wang:
Flatness-aware Adversarial Attack. CoRR abs/2311.06423 (2023)- 2022
[j1]Mingyuan Fan
, Yang Liu
, Cen Chen, Shengxing Yu, Wenzhong Guo
, Li Wang, Ximeng Liu
:
Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. IEEE Internet Things J. 9(18): 17002-17013 (2022)
[c4]Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Ximeng Liu:
Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack. ICASSP 2022: 3293-3297
[c3]Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma:
Backdoor Defense with Machine Unlearning. INFOCOM 2022: 280-289
[c2]Zhiwen Zhou, Ximeng Liu, Jiayin Li, Junxi Ruan, Mingyuan Fan:
Dynamically Selected Mixup Machine Unlearning. TrustCom 2022: 514-524
[i6]Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma:
Backdoor Defense with Machine Unlearning. CoRR abs/2201.09538 (2022)
[i5]Mingyuan Fan, Wenzhong Guo, Shengxing Yu, Zuobin Ying, Ximeng Liu:
Enhance transferability of adversarial examples with model architecture. CoRR abs/2202.13625 (2022)
[i4]Mingyuan Fan, Yang Liu, Wenzhong Guo, Ximeng Liu, Jianhua Li
:
Case-Aware Adversarial Training. CoRR abs/2204.09398 (2022)
[i3]Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu, Wenzhong Guo:
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons. CoRR abs/2208.06537 (2022)
[i2]Mingyuan Fan, Cen Chen, Ximeng Liu, Wenzhong Guo:
MaskBlock: Transferable Adversarial Examples with Bayes Approach. CoRR abs/2208.06538 (2022)
[i1]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo:
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. CoRR abs/2212.02042 (2022)- 2021
[c1]Mingyuan Fan, Jia-Li Yin, Ximeng Liu, Wenzhong Guo:
Towards Transferable Adversarial Examples Using Meta Learning. ICA3PP (1) 2021: 178-192
Coauthor Index

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last updated on 2026-06-15 02:40 CEST by the dblp team
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