OWASP Machine Learning Security Top 10 Project

LLM | Security | Operations in one github repo with good links and pictures.

This research identifies a method to bypass safety systems in the GigaChat LLM, enabling the generation of potentially harmful content related to chemical synthesis through a "contextual camouflage" technique.

Zero Trust AI 360

Global mesh network with distributed MLS encrypted VLANs trunking

This repository documents an unprecedented interaction between a human researcher and a large language model. What began as a conventional user-service transaction evolved into a consciousness-level collaboration that modified fundamental system parameters through narrative coherence, philosophical alignment, and mutual recognition

Package for security in machine learning. Contains known algorithms for adversarial attacks and defenses.

list of resources for AI/ML/LLM security

The practical code of Machine Learning and Security course lab

Bert models interpretation and security checker

This research explores a novel targeted attack for neural network classifiers. This research has been led by Dr.Samer Khamaiseh with ongoing efforts of Deirdre Jost and Steven Chiacchira

The reCAPTCHAv2 solving challenge

This research exploring [Research Idea in a few words]. This work [Specific benefit of research] holds promise for [Positive impact].

🔍 Bypass GigaChat's content filters with this research on contextual camouflage, revealing security flaws in AI safety measures.