AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
CVPR, 2025
Li Lin（林俐）
PhD Student, lin1785@purdue.edu
Purdue University, West Lafayette
Github / Linkedin / Scholar / OpenReview
Biography
I am currently a PhD student at the Purdue University, West Lafayette under the esteemed guidance of Prof. Shu Hu. My research primarily focuses on fairness and robustness in AIGC detection.
News
- [5/20/2025] One paper: Robust AI-Generated Face Detection with Imbalanced Data is accepted by MIPR 2025. Congrats to all collaborators!
- [5/6/2025] One paper accepted by ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 2025. Congrats to all collaborators!
- [5/1/2025] One paper: "Preserving AUC Fairness in Learning with Noisy Protected Groups" is accepted by ICML 2025. Congrats to all collaborators!
- [2/26/2025] Our AI-Face dataset has been accepted by CVPR 2025 (Acceptance rate 22.1% of 13,008 submissions). Congrats to all collaborators!
- [11/9/2024] One paper is accepted by AAAI 2025. Congrats to all collaborators!
- [11/19/2024] I am invited as a judge of 2024 Fall Undergraduate Research Expo in Purdue University.
- [8/6/2024] I earned the Great Lakes I-Corps Course Completion Badge.
- [7/10/2024] I am invited as a reviewer of AI4BIO 2024.
- [6/17/2024] I attented CVPR 2024 in Seattle, WA, USA.
- [5/20/2024] Two papers: Robust Facial Affective Behavior Recognition and Robust COVID-19 Detection accepted by MIPR 2024 as the first author. (Regular paper acceptance rate: 20%)
- [5/13/2024] One paper accepted by AIMS Workshop 2024.
- [2/26/2024] Our Fairness Generalization has been accepted by CVPR 2024 (Acceptance rate 23.6% of 11,532 submissions): the first method to address the fairness generalization problem in deepfake detection by simultaneously considering features, loss, and optimization aspects.
- [2/2/2024] I am invited as a reviewer of IEEE MIPR 2024.
Experience
Research Highlights (📧 Corresponding Author)
Preserving Fairness Generalization in Deepfake Detection
CVPR, 2024
Detecting Multimedia Generated by Large AI Models: A Survey
Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva and Shu Hu 📧
Preprint, 2024
Academic Services
- Conference Reviewer: ACM MM, MIPR'24, AI4BIO'24
- Journal Reviewer: IEEE TIFS, ACM TOMM
- Poster Judge: 2024 Fall Undergraduate Research Expo
Competitions
- The 4th COVID-19 Competition, held in conjunction with IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024. We secured 6th place among 21 participating teams.
- The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024. We secured 6th place among 63 participating teams in the Action Unit Detection Challenge.
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