Yichuan Mo

According to our database, Yichuan Mo authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

On the Adversarial Transferability of Generalized "Skip Connections".

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

CoRR, 2024

Studious Bob Fight Back Against Jailbreaking via Prompt Adversarial Tuning.

Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang

CoRR, 2024

Fight Back Against Jailbreaking via Prompt Adversarial Tuning.

Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

2022

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.

Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space.

Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness.

Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Task Learning Improves Synthetic Speech Detection.

Yichuan Mo, Shilin Wang

Proceedings of the IEEE International Conference on Acoustics, 2022