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2020 – today
- 2024
[c6]Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang:
PID: Prompt-Independent Data Protection Against Latent Diffusion Models. ICML 2024- [c5]Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang:
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors. ICML 2024 - [i5]Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang:
Studious Bob Fight Back Against Jailbreaking via Prompt Adversarial Tuning. CoRR abs/2402.06255 (2024) - [i4]Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang:
PID: Prompt-Independent Data Protection Against Latent Diffusion Models. CoRR abs/2406.15305 (2024) - [i3]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) - [i2]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) - 2022
- [c4]Yichuan Mo, Shilin Wang:
Multi-Task Learning Improves Synthetic Speech Detection. ICASSP 2022: 6392-6396 - [c3]Qibing Ren, Yiting Chen
, Yichuan Mo, Qitian Wu, Junchi Yan:
DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. KDD 2022: 1483-1492 - [c2]Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan:
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space. NeurIPS 2022 - [c1]Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang:
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. NeurIPS 2022 - [i1]Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang:
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. CoRR abs/2210.07540 (2022)
Coauthor Index
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