Chi-hua Wang

34 papers A 3Misc 1Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting.
CoRR
Joshua Ward, Chi-hua Wang, Guang Cheng
2025 — conf
Ensembling Membership Inference Attacks Against Tabular Generative Models.
AISec@CCS
Joshua Ward, Yuxuan Yang, Chi-hua Wang, Guang Cheng
2025 J jnl
Ensembling Membership Inference Attacks Against Tabular Generative Models.
CoRR
Joshua Ward, Yuxuan Yang, Chi-hua Wang, Guang Cheng
2025 — conf
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction.
ICDEW
Tung Sum Thomas Kwok, Chi-hua Wang, Guang Cheng
2025 J jnl
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction.
CoRR
Tung Sum Thomas Kwok, Chi-hua Wang, Guang Cheng
2025 J jnl
Privacy Auditing Synthetic Data Release through Local Likelihood Attacks.
CoRR
Joshua Ward, Chi-hua Wang, Guang Cheng
2025 J jnl
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis.
CoRR
Joshua Ward, Xiaofeng Lin, Chi-hua Wang, Guang Cheng
2025 J jnl
Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering.
CoRR
Tung Sum Thomas Kwok, Zeyong Zhang, Chi-hua Wang, Guang Cheng
2025 J jnl
When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation.
CoRR
Joshua Ward, Bochao Gu, Chi-hua Wang, Guang Cheng
2024 J jnl
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data.
CoRR
Yu Xia, Chi-hua Wang, Joshua Mabry, Guang Cheng
2024 J jnl
BadGD: A unified data-centric framework to identify gradient descent vulnerabilities.
CoRR
Chi-hua Wang, Guang Cheng
2024 J jnl
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room.
CoRR
Tung Sum Thomas Kwok, Chi-hua Wang, Guang Cheng
2024 J jnl
Data Deletion for Linear Regression with Noisy SGD.
CoRR
Zhangjie Xia, Chi-hua Wang, Guang Cheng
2024 J jnl
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models.
CoRR
Joshua Ward, Chi-hua Wang, Guang Cheng
2024 J jnl
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data.
CoRR
Lan Tao, Shirong Xu, Chi-hua Wang, Namjoon Suh, Guang Cheng
2024 J jnl
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models.
CoRR
Yinan Cheng, Chi-hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng
2024 J jnl
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective.
CoRR
Din-Yin Hsieh, Chi-hua Wang, Guang Cheng
2023 J jnl
Federated High-Dimensional Online Decision Making.
Trans. Mach. Learn. Res.
Chi-hua Wang, Wenjie Li, Guang Lin
2023 J jnl
Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization.
Trans. Mach. Learn. Res.
Wenjie Li, Chi-hua Wang, Guang Cheng, Qifan Song
2022 J jnl
Always Valid Risk Monitoring for Online Matrix Completion.
CoRR
Chi-hua Wang, Wenjie Li
2022 J jnl
Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed Pricing.
CoRR
Po-Yi Liu, Chi-hua Wang, Heng-Hsui Tsai
2022 J jnl
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation.
CoRR
Yucong Liu, Chi-hua Wang, Guang Cheng
2022 J jnl
Rate-Optimal Contextual Online Matching Bandit.
CoRR
Yuantong Li, Chi-hua Wang, Guang Cheng, Will Wei Sun
2022 J jnl
Residual Bootstrap Exploration for Stochastic Linear Bandit.
CoRR
Shuang Wu, Chi-hua Wang, Yuantong Li, Guang Cheng
2022 A conf
Residual bootstrap exploration for stochastic linear bandit.
UAI
Shuang Wu, Chi-hua Wang, Yuantong Li, Guang Cheng
2022 — —
Statistical Design of Sequential Decision Making Algorithms
Chi-hua Wang
2021 A conf
Online Forgetting Process for Linear Regression Models.
AISTATS
Yuantong Li, Chi-hua Wang, Guang Cheng
2021 J jnl
Optimum-statistical collaboration towards efficient black-box optimization.
CoRR
Wenjie Li, Chi-hua Wang, Guang Cheng
2020 A conf
Online Batch Decision-Making with High-Dimensional Covariates.
AISTATS
Chi-hua Wang, Guang Cheng
2020 J jnl
Online Batch Decision-Making with High-Dimensional Covariates.
CoRR
Chi-hua Wang, Guang Cheng
2020 J jnl
Online Forgetting Process for Linear Regression Models.
CoRR
Yuantong Li, Chi-hua Wang, Guang Cheng
2020 J jnl
Online Regularization for High-Dimensional Dynamic Pricing Algorithms.
CoRR
Chi-hua Wang, Zhanyu Wang, Will Wei Sun, Guang Cheng
2020 J jnl
Residual Bootstrap Exploration for Bandit Algorithms.
CoRR
Chi-hua Wang, Yang Yu, Botao Hao, Guang Cheng
2011 Misc conf
Constant speed VSC of a spherical robot driven by Omni wheels.
ICMLC
Chi-hua Wang, Yu-Hsiang Lin, Kun-Shu Huang, Bore-Kuen Lee, Kuo-Bin Lin, Chi-Kuang Hwang