MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data | ScienceToStartup | ScienceToStartup

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References (24)

[1]

MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data

2025Eyal German, Daniel Samira et al.

[2]

Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis

2025Xiaoyu Wu, Yifei Pang et al.

[3]

The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text

Founder's Pitch

"Develop novel privacy-preserving synthetic tabular data generation techniques resistant to membership inference attacks."

Privacy in Synthetic Data•Score: 4•View PDF ↗

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MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data

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References (24)

Founder's Pitch

"Develop novel privacy-preserving synthetic tabular data generation techniques resistant to membership inference attacks."

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MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data

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References (24)

Founder's Pitch

"Develop novel privacy-preserving synthetic tabular data generation techniques resistant to membership inference attacks."

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