When Machine Learning Models Leak: An Exploration of Synthetic Training Data

Documenti analoghi

• FedFlex: Federated Learning for Diverse Netflix Recommendations
  di: Lankester, Sven, et al.
  Pubblicazione: (2025)
• From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
  di: Wu, Biao, et al.
  Pubblicazione: (2023)
• Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
  di: Wahdany, Dariush, et al.
  Pubblicazione: (2026)
• bioLeak: Leakage-Aware Modeling and Diagnostics for Machine Learning in R
  di: Korkmaz, Selçuk
  Pubblicazione: (2026)
• Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
  di: Koehler, Felix, et al.
  Pubblicazione: (2025)