Kemou Li

11 papers A* 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models.
CoRR
Fengpeng Li, Kemou Li, Qizhou Wang, Bo Han, Jiantao Zhou
2026 J jnl
FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection.
CoRR
Zhilin Tu, Kemou Li, Fengpeng Li, Jianwei Fei, Jiamin Zhang, Haiwei Wu
2025 J jnl
FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge.
CoRR
Kahim Wong, Jicheng Zhou, Kemou Li, Yain-Whar Si, Xiaowei Wu, Jiantao Zhou
2025 J jnl
FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge.
IEEE Trans. Multim.
Kahim Wong, Jicheng Zhou, Kemou Li, Yain-Whar Si, Xiaowei Wu, Jiantao Zhou
2025 J jnl
LLM Unlearning with LLM Beliefs.
CoRR
Kemou Li, Qizhou Wang, Yue Wang, Fengpeng Li, Jun Liu, Bo Han, Jiantao Zhou
2025 J jnl
RML++: Regroup Median Loss for Combating Label Noise.
Int. J. Comput. Vis.
Fengpeng Li, Kemou Li, Qizhou Wang, Bo Han, Jinyu Tian, Jiantao Zhou
2025 J jnl
Toward Robust Learning via Core Feature-Aware Adversarial Training.
IEEE Trans. Inf. Forensics Secur.
Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou
2024 A* conf
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain.
NeurIPS
Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou
2024 J jnl
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain.
CoRR
Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou
2024 A* conf
Regroup Median Loss for Combating Label Noise.
AAAI
Fengpeng Li, Kemou Li, Jinyu Tian, Jiantao Zhou
2023 J jnl
Regroup Median Loss for Combating Label Noise.
CoRR
Fengpeng Li, Kemou Li, Jinyu Tian, Jiantao Zhou