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Last analyzed 9/9/2026

Language Model Security Database

985 research findings · 1123 evaluated models

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1 entry

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Published 9/1/2025
Analyzed 12/9/2025

Large Language Model (LLM) inference APIs that expose top-k logits or log-probabilities are vulnerable to model extraction and cloning. An attacker can execute a two-stage attack to replicate the proprietary model without access to weights, gradients, or training data. First, by submitting fewer than 10,000 random queries and aggregating the returned unrounded logits, the attacker recovers the model's output projection matrix using Singular Value Decomposition (SVD). Second, the attacker…

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation
Evaluated models: GPT-3.5, Mistral 7B

Source: arXiv

Research methodology

Entries summarize publicly available primary-source security research. Model names reflect only systems explicitly evaluated by the cited paper, and measurements are research-reported unless independent verification is stated.