Mingjie Li - RankMe

30 papers A* 12A 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs. CoRR Yukun Jiang, Hai Huang, Mingjie Li, Yage Zhang, Michael Backes, Yang Zhang
2026	J	`jnl`	When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm. CoRR Ye Leng, Junjie Chu, Mingjie Li, Chenhao Lin, Chao Shen, Michael Backes, Yun Shen, Yang Zhang
2025	J	`jnl`	Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency. CoRR Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang
2025	J	`jnl`	Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning. CoRR Ang Li, Yichuan Mo, Mingjie Li, Yifei Wang, Yisen Wang
2025	J	`jnl`	Decoding Large Language Diffusion Models with Foreseeing Movement. CoRR Yichuan Mo, Quan Chen, Mingjie Li, Zeming Wei, Yisen Wang
2025	J	`jnl`	Excessive Reasoning Attack on Reasoning LLMs. CoRR Wai Man Si, Mingjie Li, Michael Backes, Yang Zhang
2025	A*	`conf`	Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. USENIX Security Symposium Atilla Akkus, Masoud Poorghaffar Aghdam, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav
2025	J	`jnl`	JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring. CoRR Junjie Chu, Mingjie Li, Ziqing Yang, Ye Leng, Chenhao Lin, Chao Shen, Michael Backes, Yun Shen, Yang Zhang
2025	J	`jnl`	Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness. Sci. China Inf. Sci. Ke Sun, Mingjie Li, Zhouchen Lin
2025	A*	`conf`	SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. ICLR Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang
2025	J	`jnl`	SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. CoRR Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang
2024	J	`jnl`	Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. CoRR Atilla Akkus, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav
2024	J	`jnl`	MADE: Graph Backdoor Defense with Masked Unlearning. CoRR Xiao Lin, Mingjie Li, Yisen Wang
2024	J	`jnl`	On the Adversarial Transferability of Generalized "Skip Connections". CoRR Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin
2024	A*	`conf`	PID: Prompt-Independent Data Protection Against Latent Diffusion Models. ICML Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang
2024	J	`jnl`	PID: Prompt-Independent Data Protection Against Latent Diffusion Models. CoRR Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang
2024	A*	`conf`	TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors. ICML Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang
2024	J	`jnl`	TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors. CoRR Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang
2024	A*	`conf`	ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models. CCS Zeyang Sha, Yicong Tan, Mingjie Li, Michael Backes, Yang Zhang
2023	A*	`conf`	GEQ: Gaussian Kernel Inspired Equilibrium Models. NeurIPS Mingjie Li, Yisen Wang, Zhouchen Lin
2023	A*	`conf`	Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. ICLR Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin
2022	A*	`conf`	CerDEQ: Certifiable Deep Equilibrium Model. ICML Mingjie Li, Yisen Wang, Zhouchen Lin
2022	A*	`conf`	G ICML Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin
2022	A*	`conf`	Optimization inspired Multi-Branch Equilibrium Models. ICLR Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin
2022	J	`jnl`	SymNMF-Net for The Symmetric NMF Problem. CoRR Mingjie Li, Hao Kong, Zhouchen Lin
2021	J	`jnl`	Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness. CoRR Ke Sun, Mingjie Li, Zhouchen Lin
2020	A*	`conf`	Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. ICML Mingjie Li, Lingshen He, Zhouchen Lin
2018	A*	`conf`	Deep Convolutional Neural Networks with Merge-and-Run Mappings. IJCAI Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang
2018	A	`conf`	IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. BMVC Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang
2018	J	`jnl`	IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. CoRR Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang