Mingjie Li

According to our database, Mingjie Li authored at least 28 papers between 2018 and 2026.

Collaborative distances:

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

2026

On the Adversarial Transferability of Generalized "Skip Connections".

Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

A Systematic Study of Training-Free Methods for Trustworthy Large Language Models.

Wai Man Si, Mingjie Li, Michael Backes, Yang Zhang

CoRR, April, 2026

Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms.

Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang

CoRR, April, 2026

When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm.

Ye Leng, Junjie Chu, Mingjie Li, Chenhao Lin, Chao Shen, Michael Backes, Yun Shen, Yang Zhang

CoRR, March, 2026

Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs.

Yukun Jiang, Hai Huang, Mingjie Li, Yage Zhang, Michael Backes, Yang Zhang

CoRR, February, 2026

Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs.

Wai Man Si, Mingjie Li, Michael Backes, Yang Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Decoding Large Language Diffusion Models with Foreseeing Movement.

Yichuan Mo, Quan Chen, Mingjie Li, Zeming Wei, Yisen Wang

CoRR, December, 2025

JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring.

Junjie Chu, Mingjie Li, Ziqing Yang, Ye Leng, Chenhao Lin, Chao Shen, Michael Backes, Yun Shen, Yang Zhang

CoRR, August, 2025

Excessive Reasoning Attack on Reasoning LLMs.

Wai Man Si, Mingjie Li, Michael Backes, Yang Zhang

CoRR, June, 2025

Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning.

Ang Li, Yichuan Mo, Mingjie Li, Yifei Wang, Yisen Wang

CoRR, February, 2025

Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness.

Ke Sun, Mingjie Li, Zhouchen Lin

Sci. China Inf. Sci., 2025

Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data.

Atilla Akkus, Masoud Poorghaffar Aghdam, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav

Proceedings of the 34th USENIX Security Symposium, 2025

Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency.

Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation.

Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

MADE: Graph Backdoor Defense with Masked Unlearning.

Xiao Lin, Mingjie Li, Yisen Wang

CoRR, 2024

Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data.

Atilla Akkus, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav

CoRR, 2024

TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors.

Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PID: Prompt-Independent Data Protection Against Latent Diffusion Models.

Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models.

Zeyang Sha, Yicong Tan, Mingjie Li, Michael Backes, Yang Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

GEQ: Gaussian Kernel Inspired Equilibrium Models.

Mingjie Li, Yisen Wang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States.

Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

SymNMF-Net for The Symmetric NMF Problem.

Mingjie Li, Hao Kong, Zhouchen Lin

CoRR, 2022

G²CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters.

Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

CerDEQ: Certifiable Deep Equilibrium Model.

Mingjie Li, Yisen Wang, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Optimization inspired Multi-Branch Equilibrium Models.

Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability.

Mingjie Li, Lingshen He, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Deep Convolutional Neural Networks with Merge-and-Run Mappings.

Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks.

Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang

Proceedings of the British Machine Vision Conference 2018, 2018