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ORCIDMingjie Li 0007
Person information
- affiliation: CISPA, Helmholtz Center for Information Security, Saarbrücken, Germany
Other persons with the same name
- Mingjie Li — disambiguation page
- Mingjie Li 0001
![[0000-0003-2848-3676]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2848-3676")
— Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China - Mingjie Li 0002 — Hanyang University, Department of Electrical Systems Engineering, Ansan, South Korea
- Mingjie Li 0003 — National Marine Environmental Forecasting Center, Beijing, China
- Mingjie Li 0004 — University of Technology Sydney, Centre for Artificial Intelligence, School of Computer Science, Australia (and 1 more)
- Mingjie Li 0005 — Tsinghua University, Beijing, China
- Mingjie Li 0006 — Monash University, Australia
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2020 – today
- 2025
[c12]Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang:
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. ICLR 2025- [i10]Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang:
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. CoRR abs/2501.01765 (2025) - [i9]Ang Li, Yichuan Mo, Mingjie Li, Yifei Wang, Yisen Wang:
Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning. CoRR abs/2502.09673 (2025) - 2024
- [c11]Zeyang Sha, Yicong Tan, Mingjie Li, Michael Backes, Yang Zhang:
ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models. CCS 2024: 4852-4866 - [c10]Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang:
PID: Prompt-Independent Data Protection Against Latent Diffusion Models. ICML 2024 - [c9]Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang:
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors. ICML 2024 - [i8]Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang:
PID: Prompt-Independent Data Protection Against Latent Diffusion Models. CoRR abs/2406.15305 (2024) - [i7]Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang:
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors. CoRR abs/2409.05294 (2024) - [i6]Atilla Akkus, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav:
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. CoRR abs/2409.11423 (2024) - [i5]Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin:
On the Adversarial Transferability of Generalized "Skip Connections". CoRR abs/2410.08950 (2024) - [i4]Xiao Lin, Mingjie Li, Yisen Wang:
MADE: Graph Backdoor Defense with Masked Unlearning. CoRR abs/2411.18648 (2024) - 2023
- [c8]Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin:
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. ICLR 2023 - [c7]Mingjie Li, Yisen Wang, Zhouchen Lin:
GEQ: Gaussian Kernel Inspired Equilibrium Models. NeurIPS 2023 - 2022
- [c6]Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin:
Optimization inspired Multi-Branch Equilibrium Models. ICLR 2022 - [c5]Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin:
G2CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters. ICML 2022: 12782-12796 - [c4]Mingjie Li, Yisen Wang, Zhouchen Lin:
CerDEQ: Certifiable Deep Equilibrium Model. ICML 2022: 12998-13013 - [i3]Mingjie Li, Hao Kong, Zhouchen Lin:
SymNMF-Net for The Symmetric NMF Problem. CoRR abs/2205.13214 (2022) - 2021
- [i2]Ke Sun, Mingjie Li, Zhouchen Lin:
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness. CoRR abs/2111.01996 (2021) - 2020
- [c3]Mingjie Li, Lingshen He, Zhouchen Lin:
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. ICML 2020: 5874-5883
2010 – 2019
- 2018
- [c2]Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang:
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. BMVC 2018: 101 - [c1]Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang:
Deep Convolutional Neural Networks with Merge-and-Run Mappings. IJCAI 2018: 3170-3176 - [i1]Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang:
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. CoRR abs/1806.00178 (2018)
Coauthor Index
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