PRIVET: PRoximIty leakage detection Via Extreme value Theory

arXiv:2510.24233 · cs.LG · Submitted 2025-10-28 · Read on arXiv

cs.LG

Submitted: 2025-10-28

Updated: 2026-09-18

Code: https://github.com/antoineszatkownik/PRIVET

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Embeddings — 23× in this paper · explained in 2 episodes
• Generative Model — 22× in this paper · explained in 2 episodes
• Generative Models — 16× in this paper · explained in 2 episodes
• Generalization — 8× in this paper · explained in 13 episodes
• False Positives — 7× in this paper
• Hamming Distance — 7× in this paper · explained in 2 episodes
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Core — 3× in this paper · explained in 2 episodes
• F1 Score — 3× in this paper · explained in 3 episodes
• False Negatives — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• True Positives — 3× in this paper
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Feature Likelihood Divergence — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 8 episodes
• International Conference on Machine Learning — 2× in this paper
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Normalizing Flows — 2× in this paper · explained in 4 episodes
• True Negatives — 2× in this paper
• Accountability — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• General Data Protection Regulation — 1× in this paper
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Human Genome Dataset — 1× in this paper
• Information Leakage — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Probability Integral Transform — 1× in this paper
• Quantization — 1× in this paper · explained in 12 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Universality Class — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Auto-Encoding Variational Bayes

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