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Deep-pwning is a lightweight framework for experimenting with machine learning models with the goal of evaluating their robustness against a motivated adversary.
The main features of cchio/deep-pwning are: Adversarial Security Tools.
Projects with overlapping indexed features include: bethgelab/foolbox — .. raw:: html. darfaz/clawmoat — The open-source agent firewall Prevent AI agents from leaking data, using dangerous tools, and importing poisoned… dstack-tee/dstack — Open framework for confidential AI. endgameinc/gym-malware — Citing. fireeye/stringsifter — A machine learning tool that ranks strings based on their relevance for malware analysis. aliasrobotics/cai — CAI is a framework for building autonomous security agents and an orchestration system for coordinating multiple…
The open-source agent firewall Prevent AI agents from leaking data, using dangerous tools, and importing poisoned dependencies. AI made bug discovery cheap. ClawMoat helps you contain the blast radius while the patch queue catches up.
CAI is a framework for building autonomous security agents and an orchestration system for coordinating multiple specialized agents. It functions as an agentic workflow engine and an autonomous cyber-defense tool that maps language model reasoning to security kill chain functions for threat detection and mitigation. The system distinguishes itself through multi-agent coordination patterns, such as swarms and hierarchies, and the use of stateful conversation handoffs. It implements multi-layer input and output guardrails to block prompt injections and validate commands before they reach the sy
