Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. - Yuechun Gu; Da Yan 001; Sibo Yan; Zhe Jiang 001 (CIKM, 2020)

GAN-Based Domain Inference Attack. - Yuechun Gu; Keke Chen (AAAI, 2023)

Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning. - Yuechun Gu; Sagar Sharma; Keke Chen (CCS, 2023)

A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning. - Sagar Sharma; Yuechun Gu; Keke Chen (CoRR, 2023)

Adaptive Domain Inference Attack. - Yuechun Gu; Keke Chen (CoRR, 2023)

DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds. - Keke Chen; Yuechun Gu; Sagar Sharma (ACM Trans. Internet Techn., 2023)

Calibrating Practical Privacy Risks for Differentially Private Machine Learning. - Yuechun Gu; Keke Chen (IEEE Big Data, 2024)

Demo: FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation. - Yuechun Gu; Jiajie He 003; Keke Chen (CCS, 2024)

FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation. - Yuechun Gu; Jiajie He 003; Keke Chen (CoRR, 2024)

Adaptive Domain Inference Attack with Concept Hierarchy. - Yuechun Gu; Jiajie He 003; Keke Chen (KDD (1), 2025)

RecPS: Privacy Risk Scoring for Recommender Systems. - Jiajie He 003; Yuechun Gu; Keke Chen (CoRR, 2025)