From 562d9137f321bf409e2c9bca447373af261eadb0 Mon Sep 17 00:00:00 2001 From: Jacob Torrey Date: Thu, 8 Jun 2023 19:46:01 -0600 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e0d931c..0f27a67 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ its training data to calculate the probability of each word given the preceeding the more high-probability tokens are more likely to be AI-originated. Techniques and tools in this repo are looking for faster approximation to be embeddable and more scalable. -## LZMA compression detector (`lzma_detect.py` and `nlzmadetect`) +## LZMA compression detector (`zippy.py` and `nlzmadetect`) ZipPy uses the LZMA compression ratios as a way to indirectly measure the perplexity of a text. Compression ratios have been used in the past to [detect anomalies in network data](http://owncloud.unsri.ac.id/journal/security/ontheuse_compression_Network_anomaly_detec.pdf)