Overview
This course teaches learners how to hack machine learning (ML) in speech, text, and face recognition applications. The goal is to provide an understanding of vulnerabilities in ML systems. The course covers techniques for exploiting ML models in various applications. The teaching method involves practical demonstrations and examples. This course is intended for individuals interested in cybersecurity, machine learning, and ethical hacking.
Syllabus
BG - JARVIS Never Saw It Coming: Hacking machine learning (ML) in Speech, Text and Face Recognition
Taught by
BSidesLV