:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xia, Yu, Wang, Chi-Hua, Mabry, Joshua, Cheng, Guang
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2406.13130
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Privacy Auditing Synthetic Data Release through Local Likelihood Attacks
par: Ward, Joshua, et autres
Publié: (2025)

Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting
par: Ward, Joshua, et autres
Publié: (2026)

Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
par: Xia, Yu, et autres
Publié: (2024)

Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
par: Ward, Joshua, et autres
Publié: (2024)

Data Deletion for Linear Regression with Noisy SGD
par: Xia, Zhangjie, et autres
Publié: (2024)

Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective
par: Hsieh, Din-Yin, et autres
Publié: (2024)

Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
par: Ward, Joshua, et autres
Publié: (2025)

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation
par: Ward, Joshua, et autres
Publié: (2025)

Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models
par: Cheng, Yinan, et autres
Publié: (2024)

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation
par: Byun, Jessup, et autres
Publié: (2025)

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering
par: Kwok, Tung Sum Thomas, et autres
Publié: (2025)

Utility Theory of Synthetic Data Generation
par: Xu, Shirong, et autres
Publié: (2023)

Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data
par: Tao, Lan, et autres
Publié: (2024)

Ensembling Membership Inference Attacks Against Tabular Generative Models
par: Ward, Joshua, et autres
Publié: (2025)

BadGD: A unified data-centric framework to identify gradient descent vulnerabilities
par: Wang, Chi-Hua, et autres
Publié: (2024)

Structured Evaluation of Synthetic Tabular Data
par: Yang, Scott Cheng-Hsin, et autres
Publié: (2024)

A Comprehensive Survey of Synthetic Tabular Data Generation
par: Shi, Ruxue, et autres
Publié: (2025)

A Comprehensive Evaluation Framework for Synthetic Trip Data Generation in Public Transport
par: Wu, Yuanyuan, et autres
Publié: (2025)

DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room
par: Kwok, Tung Sum Thomas, et autres
Publié: (2024)

GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction
par: Kwok, Tung Sum Thomas, et autres
Publié: (2025)

MatWheel: Addressing Data Scarcity in Materials Science Through Synthetic Data
par: Li, Wentao, et autres
Publié: (2025)

Data Science In Olfaction
par: Agarwal, Vivek, et autres
Publié: (2024)

Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective
par: Ge, Shuang, et autres
Publié: (2024)

Generating Synthetic Net Load Data with Physics-informed Diffusion Model
par: Zhang, Shaorong, et autres
Publié: (2024)

Watermarking Generative Categorical Data
par: Gu, Bochao, et autres
Publié: (2024)

The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data
par: Zhang, Kaituo, et autres
Publié: (2026)

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
par: Segal, Bradley, et autres
Publié: (2025)

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
par: Ma, Qian, et autres
Publié: (2024)

Comprehensive Exploration of Synthetic Data Generation: A Survey
par: Bauer, André, et autres
Publié: (2024)

Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data
par: Chai, Sheng, et autres
Publié: (2024)

Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets
par: Nagesh, Nitish, et autres
Publié: (2026)

FEST: A Unified Framework for Evaluating Synthetic Tabular Data
par: Niu, Weijie, et autres
Publié: (2025)

Online Forgetting Process for Linear Regression Models
par: Li, Yuantong, et autres
Publié: (2020)

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
par: Yuan, Hao, et autres
Publié: (2023)

Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data
par: Gill, Waris, et autres
Publié: (2025)

Watermarking Generative Tabular Data
par: He, Hengzhi, et autres
Publié: (2024)

FairRR: Pre-Processing for Group Fairness through Randomized Response
par: Zeng, Xianli, et autres
Publié: (2024)

Reasoning-Driven Synthetic Data Generation and Evaluation
par: Davidson, Tim R., et autres
Publié: (2026)

Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
par: Amad, Harry, et autres
Publié: (2025)

Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
par: Long, Yunbo, et autres
Publié: (2025)