Publications
Selected publications across privacy, recommender systems, machine learning, and medical imaging.
A curated list of recent and earlier publications, including conference papers, journal work, and manuscripts currently under review.
9 selected publications
Privacy and RecSys focus
Conference, journal, and review-stage work
Publication List
Entries are grouped by year and styled for quick scanning of title, venue, status, authors, and available links.
Membership Inference Attacks on Recommender System: A Survey
ACM Computing Surveys
Under Review
Jiajie He, Xintong Chen, Xinyang Fang, Min-chun Chen, Yuechun Gu, and Keke Chen
Collaborating institutions: University of Cincinnati, University of Southern California
Membership Inference Attacks on LLM-based Recommender Systems
Under Review
Jiajie He, Yuechun Gu, Min-chun Chen, and Keke Chen
Auditing Approximate Machine Unlearning for Differentially Private Models
IEEE ICDM 2025
Yuechun Gu, Jiajie He, and Keke Chen
RecPS: Privacy Risk Scoring for Recommender Systems
ACM RecSys 2025
Jiajie He, Yuechun Gu, and Keke Chen
Adaptive Domain Inference Attack with Concept Hierarchy
SIGKDD 2025
Yuechun Gu, Jiajie He, and Keke Chen
Volume-Wise Task fMRI Decoding with Deep Learning
Under Review
Yueyang Wu, Sinan Yang, Yanming Wang, Jiajie He, et al.
FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation
ACM CCS 2024
Yuechun Gu, Jiajie He, and Keke Chen
White Matter Hyperintensities Induce Distal Deficits in the Connected Fibers
Human Brain Mapping
Yanpeng Liu, Yiwei Xia, Xiaoxiao Wang, Jiajie He, et al.
Comparison between the Ultra-wide Band Gap Semiconductor AlGaN and GaN
IOP Conference Series
Jiajie He