MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data
Fuente:
arXiv
Saved in:
| Main Authors: | Shafieinejad, Masoumeh, He, Xi, Alinoori, Mahshid, Jewell, John, Ayromlou, Sana, Pang, Wei, Chatrath, Veronica, Sharma, Gauri, Pandya, Deval |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models
by: Mahyar, Abtin, et al.
Published: (2026)
by: Mahyar, Abtin, et al.
Published: (2026)
JuliaTrustworthyAI/CounterfactualTraining.jl: SaTML camera-ready
by: Patrick Altmeyer, et al.
Published: (2026)
by: Patrick Altmeyer, et al.
Published: (2026)
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
by: Wu, Xiaoyu, et al.
Published: (2025)
by: Wu, Xiaoyu, et al.
Published: (2025)
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
by: Debenedetti, Edoardo, et al.
Published: (2024)
by: Debenedetti, Edoardo, et al.
Published: (2024)
The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability
by: Casper, Stephen, et al.
Published: (2024)
by: Casper, Stephen, et al.
Published: (2024)
Adopt a PET! An Exploration of PETs, Policy, and Practicalities for Industry in Canada
by: Shafieinejad, Masoumeh, et al.
Published: (2025)
by: Shafieinejad, Masoumeh, et al.
Published: (2025)
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
by: Pang, Wei, et al.
Published: (2024)
by: Pang, Wei, et al.
Published: (2024)
SoK: Challenges in Tabular Membership Inference Attacks
by: Pêra, Cristina, et al.
Published: (2026)
by: Pêra, Cristina, et al.
Published: (2026)
On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)
by: Shafieinejad, Masoumeh, et al.
Published: (2026)
Membership Inference over Diffusion-models-based Synthetic Tabular Data
by: Cheng, Peini, et al.
Published: (2025)
by: Cheng, Peini, et al.
Published: (2025)
TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
by: Pinchuk, Mykola
Published: (2026)
by: Pinchuk, Mykola
Published: (2026)
On Reliability of Efficient Membership Inference Vulnerability Evaluation
by: Jälkö, Joonas, et al.
Published: (2026)
by: Jälkö, Joonas, et al.
Published: (2026)
Hyperparameters in Score-Based Membership Inference Attacks
by: Pradhan, Gauri, et al.
Published: (2025)
by: Pradhan, Gauri, et al.
Published: (2025)
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
by: Bai, Yuxuan, et al.
Published: (2025)
by: Bai, Yuxuan, et al.
Published: (2025)
CAPID: Context-Aware PII Detection for Question-Answering Systems
by: Ponomarenko, Mariia, et al.
Published: (2026)
by: Ponomarenko, Mariia, et al.
Published: (2026)
EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records
by: Fallahpour, Adibvafa, et al.
Published: (2024)
by: Fallahpour, Adibvafa, et al.
Published: (2024)
Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)
by: Ayromlou, Sana, et al.
Published: (2025)
MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
by: Abedini, Sepideh, et al.
Published: (2025)
by: Abedini, Sepideh, et al.
Published: (2025)
Ensembling Membership Inference Attacks Against Tabular Generative Models
by: Ward, Joshua, et al.
Published: (2025)
by: Ward, Joshua, et al.
Published: (2025)
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
by: Chatrath, Veronica, et al.
Published: (2024)
by: Chatrath, Veronica, et al.
Published: (2024)
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets
by: Tavakoli, Fatemeh, et al.
Published: (2023)
by: Tavakoli, Fatemeh, et al.
Published: (2023)
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
by: Ayromlou, Sana, et al.
Published: (2024)
by: Ayromlou, Sana, et al.
Published: (2024)
Quantifying Membership Disclosure Risk for Tabular Synthetic Data Using Kernel Density Estimators
by: Pathak, Rajdeep, et al.
Published: (2026)
by: Pathak, Rajdeep, et al.
Published: (2026)
TAMIS: Tailored Membership Inference Attacks on Synthetic Data
by: Andrey, Paul, et al.
Published: (2025)
by: Andrey, Paul, et al.
Published: (2025)
MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data
by: German, Eyal, et al.
Published: (2025)
by: German, Eyal, et al.
Published: (2025)
Can Generative Models Improve Self-Supervised Representation Learning?
by: Ayromlou, Sana, et al.
Published: (2024)
by: Ayromlou, Sana, et al.
Published: (2024)
MRMMIA: Membership Inference Attacks on Memory in Chat Agents
by: Chen, Kai, et al.
Published: (2026)
by: Chen, Kai, et al.
Published: (2026)
Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs
by: German, Eyal, et al.
Published: (2025)
by: German, Eyal, et al.
Published: (2025)
Age determination of sediment core TML1
by: Lamy, Frank, et al.
Published: (2010)
by: Lamy, Frank, et al.
Published: (2010)
Federated Impression for Learning with Distributed Heterogeneous Data
by: Arya, Atrin, et al.
Published: (2024)
by: Arya, Atrin, et al.
Published: (2024)
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
by: Pang, Yan, et al.
Published: (2023)
by: Pang, Yan, et al.
Published: (2023)
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks
by: Lomurno, Eugenio, et al.
Published: (2024)
by: Lomurno, Eugenio, et al.
Published: (2024)
Tropical Geometric Tools for Machine Learning: the TML package
by: Barnhill, David, et al.
Published: (2023)
by: Barnhill, David, et al.
Published: (2023)
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models
by: Jin, Ruinan, et al.
Published: (2026)
by: Jin, Ruinan, et al.
Published: (2026)
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
by: Kohankhaki, Farnaz, et al.
Published: (2024)
by: Kohankhaki, Farnaz, et al.
Published: (2024)
PUBLIC-PRIVATE SECTOR WAGE DIFFERENTIALS IN SPAIN. AN UPDATED PICTURE IN THE MIDST OF THE GREAT RECESSION
by: José-Ignacio Antón
Published: (2015)
by: José-Ignacio Antón
Published: (2015)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)
by: Hu, Ruihan, et al.
Published: (2026)
White-box Membership Inference Attacks against Diffusion Models
by: Pang, Yan, et al.
Published: (2023)
by: Pang, Yan, et al.
Published: (2023)
Similar Items
-
FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models
by: Mahyar, Abtin, et al.
Published: (2026) -
JuliaTrustworthyAI/CounterfactualTraining.jl: SaTML camera-ready
by: Patrick Altmeyer, et al.
Published: (2026) -
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
by: Wu, Xiaoyu, et al.
Published: (2025) -
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
by: Debenedetti, Edoardo, et al.
Published: (2024) -
The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability
by: Casper, Stephen, et al.
Published: (2024)