SynQP: A Framework and Metrics for Evaluating the Quality and Privacy Risk of Synthetic Data
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Bing, Li, Yixin, Bahamyirou, Asma, Chen, Helen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthetic Data Privacy Metrics
by: Steier, Amy, et al.
Published: (2025)
by: Steier, Amy, et al.
Published: (2025)
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data
by: Zhang, Kaituo, et al.
Published: (2026)
by: Zhang, Kaituo, et al.
Published: (2026)
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
by: Nagesh, Nitish, et al.
Published: (2025)
by: Nagesh, Nitish, et al.
Published: (2025)
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
by: Yao, Zexi, et al.
Published: (2025)
by: Yao, Zexi, et al.
Published: (2025)
ReSyn: Autonomously Scaling Synthetic Environments for Reasoning Models
by: He, Andre, et al.
Published: (2026)
by: He, Andre, et al.
Published: (2026)
SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits
by: Liu, Shang, et al.
Published: (2025)
by: Liu, Shang, et al.
Published: (2025)
SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
by: Xing, Zheming, et al.
Published: (2026)
by: Xing, Zheming, et al.
Published: (2026)
SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation
by: Zenith, Ayush, et al.
Published: (2025)
by: Zenith, Ayush, et al.
Published: (2025)
Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework
by: Sidorenko, Andrey, et al.
Published: (2025)
by: Sidorenko, Andrey, et al.
Published: (2025)
Generating High-quality Privacy-preserving Synthetic Data
by: Yavo, David, et al.
Published: (2026)
by: Yavo, David, et al.
Published: (2026)
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets
by: Ganev, Georgi, et al.
Published: (2023)
by: Ganev, Georgi, et al.
Published: (2023)
Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data
by: Gong, Chen, et al.
Published: (2025)
by: Gong, Chen, et al.
Published: (2025)
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
by: Gao, Junxiang, et al.
Published: (2025)
by: Gao, Junxiang, et al.
Published: (2025)
SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data
by: Kim, Dong-Hee, et al.
Published: (2025)
by: Kim, Dong-Hee, et al.
Published: (2025)
SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
by: Yu, Ke, et al.
Published: (2025)
by: Yu, Ke, et al.
Published: (2025)
Beyond Data Privacy: New Privacy Risks for Large Language Models
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
SynDaCaTE: A Synthetic Dataset For Evaluating Part-Whole Hierarchical Inference
by: Levi, Jake, et al.
Published: (2025)
by: Levi, Jake, et al.
Published: (2025)
When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models
by: Mustaqim, S. M., et al.
Published: (2025)
by: Mustaqim, S. M., et al.
Published: (2025)
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
by: Hong, Ming-Yi, et al.
Published: (2024)
by: Hong, Ming-Yi, et al.
Published: (2024)
Predict Training Data Quality via Its Geometry in Metric Space
by: Ba, Yang, et al.
Published: (2025)
by: Ba, Yang, et al.
Published: (2025)
Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGen
by: da Silva, Anna Luiza Gomes, et al.
Published: (2025)
by: da Silva, Anna Luiza Gomes, et al.
Published: (2025)
SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
by: Remaki, Adam, et al.
Published: (2026)
by: Remaki, Adam, et al.
Published: (2026)
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
by: Kotal, Anantaa, et al.
Published: (2024)
by: Kotal, Anantaa, et al.
Published: (2024)
High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework
by: Masi, Giuseppe, et al.
Published: (2026)
by: Masi, Giuseppe, et al.
Published: (2026)
SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples
by: Zhang, Haoyu, et al.
Published: (2024)
by: Zhang, Haoyu, et al.
Published: (2024)
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
by: Li, Shiyuan, et al.
Published: (2024)
by: Li, Shiyuan, et al.
Published: (2024)
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)
by: Du, He, et al.
Published: (2025)
SyGra: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic Data
by: Pradhan, Bidyapati, et al.
Published: (2025)
by: Pradhan, Bidyapati, et al.
Published: (2025)
Beyond the Hype: Comparing Lightweight and Deep Learning Models for Air Quality Forecasting
by: Gondal, Moazzam Umer, et al.
Published: (2025)
by: Gondal, Moazzam Umer, et al.
Published: (2025)
Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
by: Wang, Dong, et al.
Published: (2025)
by: Wang, Dong, et al.
Published: (2025)
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models
by: Yuan, Yefeng, et al.
Published: (2024)
by: Yuan, Yefeng, et al.
Published: (2024)
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
by: Ponomareva, Natalia, et al.
Published: (2025)
by: Ponomareva, Natalia, et al.
Published: (2025)
No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions
by: Schiller, Emily, et al.
Published: (2026)
by: Schiller, Emily, et al.
Published: (2026)
SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data
by: Chanin, David, et al.
Published: (2026)
by: Chanin, David, et al.
Published: (2026)
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
by: Rokvic, Ljubomir, et al.
Published: (2022)
by: Rokvic, Ljubomir, et al.
Published: (2022)
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection
by: Lange, Lucas, et al.
Published: (2024)
by: Lange, Lucas, et al.
Published: (2024)
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
by: Chundawat, Vikram S, et al.
Published: (2022)
by: Chundawat, Vikram S, et al.
Published: (2022)
Evaluating the Dynamics of Membership Privacy in Deep Learning
by: Chen, Yuetian, et al.
Published: (2025)
by: Chen, Yuetian, et al.
Published: (2025)
Similar Items
-
Synthetic Data Privacy Metrics
by: Steier, Amy, et al.
Published: (2025) -
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data
by: Zhang, Kaituo, et al.
Published: (2026) -
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
by: Hu, Bing, et al.
Published: (2024) -
FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
by: Nagesh, Nitish, et al.
Published: (2025) -
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
by: Yao, Zexi, et al.
Published: (2025)