Fengpeng Li | King Abdullah University of Science and Technology (KAUST)

About Me

I am Fengpeng Li, currently a post-doc Research Fellow at Prada Lab, King Abdullah University of Science and Technology (KAUST), advised by Prof. Di Wang). Prior to that, I earned my BS degree in Remote Sensing Science and Technology and Mphil degree of Computer Science and Technology from China University of Geosciences(Wuhan) under the supervison of Prof. Lizhe Wang, and my PhD degree in Computer Science from IOTSC of University of Macau, advised by Prof. Jiantao Zhou. I also work closely with Mr. Kemou Li, Dr. Qizhou Wang, Prof. Haiwei Wu, and Prof. Bo Han.

I am always looking for cooperation in Trustworthy AI and GeoAI. Please feel free to contact me about any potential openings :)

News

2026-03 Our team wins the 6th place (6/511) at the NTIRE @ CVPR 2026: Robust AI-Generated Image Detection in the Wild Challenge.
2026-02 One paper on image forensics accepted to CVPR 2026. See you in Denver!
2026-01 Two papers on LLM unlearning and diffusion model concept erasure accepted to ICLR 2026. See you in Rio de Janeiro!
2025-06 One paper on adversarial training accepted to IEEE TIFS.
2025-06 Pass my PhD qualifying exam.
2025-05 One paper on learning with noisy labels accepted to IJCV.
2024-09 One paper on adversarial training accepted to NeurIPS 2024.
2024-09 Our team wins the championship (1/706) at the Global Multimedia Deepfake Detection Challenge (Image Track) at the 2024 Inclusion Conference on the Bund.
2023-12 One paper on learning with noisy labels accepted to AAAI 2024 Oral (2.2%).

Selected Publications

* = Equal Contribution

SENIX Security-26-Cycle2

Low-Cost Hard-Label Adversarial Attack with Theoretical Foundations

Jun Liu, Leo Yu Zhang, Fengpeng Li, Isao Echizen, Jiantao Zhou

Proceedings of USENIX Conference on Security Symposium Cycle 2 (USENIX Security), 2026

PDF CCF A Oral
CVPR-26

Zero-shot Detection of AI-Generated Image via RAW–RGB Alignment

Haiwei Wu*, Fengpeng Li*, Lingzhi Tu, Yuanman Li,Xiong Li, Jiantao Zhou

Conference on Computer Vision and Pattern Recognition (CVPR), 2026

PDF CCF A Poster
ICLR-26

LLM Unlearning with LLM Beliefs

Kemou Li, Qizhou Wang, Yue Wang, Fengpeng Li*, Jun Liu, Bo Han, Jiantao Zhou

International Conference on Learning Representations (ICLR), 2026

PDF CCF A
ICLR-26

AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models

Fengpeng Li*, Kemou Li, Qizhou Wang, Bo Han, Jiantao Zhou

International Conference on Learning Representations (ICLR), 2026

PDF CCF A
TIFS-25

Toward Robust Deep Learning via Core Feature-aware Adversarial Training

Fengpeng Li**, Kemou Li*, Haiwei Wu, Jinyu Tian, Jiantao Zhou

IEEE Transactions on Information Forensics and Security (TIFS), 2025

PDF Code CCF A
IJCV-25

RML++: Regroup Median Loss for Combating Label Noise

Fengpeng Li*, Kemou Li, Qizhou Wang, Bo Han, Jinyu Tian, Jiantao Zhou

International Journal of Computer Vision (IJCV), 2025

PDF Code CCF A
NeurIPS-24

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

Fengpeng Li*, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou

Conference on Neural Information Processing Systems (NeurIPS), 2024

PDF Code CCF A
AAAI-24 Oral

Regroup Median Loss for Combating Label Noise

Fengpeng Li*, Kemou Li, Jinyu Tian, Jiantao Zhou

AAAI Conference on Artificial Intelligence (AAAI), 2024

PDF Code CCF A Oral (2.2%)