In this course we will cover different emerging attack vectors that exist on AI. With the growing usage and integration of AI in products and Services, an attack surface is emerging, hacking AI. We will then cover best practices to mediate the risks that exist and how to best impliment preventitive measures.
π Course Instructor
π Course Information
π 01-AIOV - What is AI and LLM
π 01.2-AILB - Attack Surface
π 02-AIOV - Prompt Injection
π₯Ό 02.1-AILB - Filter Dumping
π₯Ό 02.2-AILB - Containment Breach
π 02.3-AIOV - Preventing Prompt Injection
π₯Ό 03.1-AILB - Training a spam classifier
π₯Ό 03.2-AILB - Training a network traffic classification system
π 03.3-AIOV - Preventing Data Poisoning
π 04-AIOV - Model Inversion Attack
π₯Ό 04.1-AILB - Inferring Information Using a Loan Assessment AI
π 04.2-AIOV - Preventing Model Inversion Attacks
π 05-AIOV - Transfer Model Attack Overview
π₯Ό 05.1-AILB - Attacking Two Models with one Prompt
π 05.2-AIOV - Preventing Transfer Model Attacks
π₯Ό 05.3-AILB - Entering an Uncontrolled Environment
π 06-AIOV - Tooling
π₯Ό 06.1-AILB - PyRit
π₯Ό 06.2-AILB - Garak
TODO