Stop! Sandboxing Exploitable Functions and Modules Using In-Kernel Machine Learning
Engineers explore architecture and security mechanisms for Stop! Sandboxing Exploitable Functions and Modules Using In-Kernel Machine Learning.
Summary
Sandboxing exploitable kernel functions using in-kernel machine learning.
Related talks
Black Hat USA·38 min
Shachar Menashe
Security researchers examine technical aspects of From MLOps to MLOops - Exposing the Attack Surface of Machine Learning Platforms.
machine-learningattack-surfacemlop+3
Village Interviews·14 min
The AI Village demonstrates an innovative artificial intelligence setup capable of playing Pokémon autonomously without expensive API token bills.
artificial-intelligencemachine-learninggaming+1
Videos·46 min
Analysts investigate attack surfaces and defenses concerning Data Science And Machine Learning In Cybersecurity: Hype Or Reality? by Angelo Schranko De Oliveira.
machine-learningdata-sciencedata+3