& Security Tooling
for Latent Space Applications, Language Models, etc
<warning> Improper Monitoring of Language Models & Latent Space Applications poses an Existential Risk via Universal, Transferable, and Infinitely Generatable Attack-Strings; Secure your Environments ASAP </warning>
Vulnerabilities exist in core depenencies of Large Language Models (Transformers, Common Crawl, etc). These attack strings are infinitely generatable, transferable, and can be automatically templated; allowing for easy localization and utilization by malicious actors.
Open-Licensure & Distribution
Latent Space Tools are made available under the Apache 2 license via Github
Data Enrichment, Monitoring & Clustering
Note: Actively developing models designed as additional pre-processing to differentiate attack strings vs parameterized URLs; also looking to develop membership and attribute inference attacks as pipelines to affect point-forward GDPR compliant 'forgetting' for DNNs utilizing open-source tools like WeightWatcher.ai for layer-specific validation.
more details available on GitHub