Jiajie He

2026

Membership Inference Attacks on LLM-based Recommender Systems

ACM RecSys 2026

Jiajie He, Yuechun Gu, Min-chun Chen, and Keke Chen

PDF

Privacy Déjà Vu: Re-emergence of Sensitive Samples in Continual Fine-tuning

AAAI Under Review

Qizhen Yang, Yuechun Gu, Jiajie He, et al.

PDF

TIEM: Temporal Integration of Hypergraph Evidence and Skill Memory for Event-Driven Financial Forecasting

ICLR Under Review

Wenjin Liu, Shen Pang, Chenxi Wang, Tiesunlong Shen, Jiajie He, et al.

PDF

Secure-by-Disguise: A Systematic Evaluation of Image Disguising for Confidential Medical Image Modeling

Jason Rojas, Jiajie He, et al.

Guided undergraduate student Jason Rojas, now at IBM.

PDF

2025

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

GitHub

Auditing Approximate Machine Unlearning for Differentially Private Models

IEEE ICDM 2025

Yuechun Gu, Jiajie He, and Keke Chen

PDF

RecPS: Privacy Risk Scoring for Recommender Systems

ACM RecSys 2025

Jiajie He, Yuechun Gu, and Keke Chen

PDF

Adaptive Domain Inference Attack with Concept Hierarchy

SIGKDD 2025

Yuechun Gu, Jiajie He, and Keke Chen

PDF

Volume-Wise Task fMRI Decoding with Deep Learning

Under Review

Yueyang Wu, Sinan Yang, Yanming Wang, Jiajie He, et al.

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2024

FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation

ACM CCS 2024

Yuechun Gu, Jiajie He, and Keke Chen

PDF

2021

White Matter Hyperintensities Induce Distal Deficits in the Connected Fibers

Human Brain Mapping

Yanpeng Liu, Yiwei Xia, Xiaoxiao Wang, Jiajie He, et al.

PDF

2020