Yuechun Gu

According to our database, Yuechun Gu authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RecPS: Privacy Risk Scoring for Recommender Systems.

Jiajie He, Yuechun Gu, Keke Chen

CoRR, July, 2025

Adaptive Domain Inference Attack with Concept Hierarchy.

Yuechun Gu, Jiajie He, Keke Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

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

Yuechun Gu, Jiajie He, Keke Chen

CoRR, 2024

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

Yuechun Gu, Jiajie He, Keke Chen

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Calibrating Practical Privacy Risks for Differentially Private Machine Learning.

Yuechun Gu, Keke Chen

Proceedings of the IEEE International Conference on Big Data, 2024

2023

DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds.

Keke Chen, Yuechun Gu, Sagar Sharma

ACM Trans. Internet Techn., August, 2023

Adaptive Domain Inference Attack.

Yuechun Gu, Keke Chen

CoRR, 2023

A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning.

Sagar Sharma, Yuechun Gu, Keke Chen

CoRR, 2023

Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning.

Yuechun Gu, Sagar Sharma, Keke Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

GAN-Based Domain Inference Attack.

Yuechun Gu, Keke Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators.

Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020