The MLSecOps Podcast

56 Episoder

1. Exploring AI/ML Security Risks: At Black Hat USA 2023 with Protect AI

   Publisert: 17.8.2023
2. Everything You Need to Know About Hacker Summer Camp 2023

   Publisert: 3.8.2023
3. Privacy Engineering: Safeguarding AI & ML Systems in a Data-Driven Era; With Guest Katharine Jarmul

   Publisert: 12.7.2023
4. The Intersection of MLSecOps and DataPrepOps; With Guest: Jennifer Prendki, PhD

   Publisert: 21.6.2023
5. The Evolved Adversarial ML Landscape; With Guest: Apostol Vassilev, NIST

   Publisert: 14.6.2023
6. Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya Rajpal

   Publisert: 7.6.2023
7. Indirect Prompt Injections and Threat Modeling of LLM Applications; With Guest: Kai Greshake

   Publisert: 24.5.2023
8. Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn

   Publisert: 17.5.2023
9. ML Security: AI Incident Response Plans and Enterprise Risk Culture; With Guest: Patrick Hall

   Publisert: 10.5.2023
10. AI Audits: Uncovering Risks in ML Systems; With Guest: Shea Brown, PhD

    Publisert: 3.5.2023
11. MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann Rehberger

    Publisert: 26.4.2023
12. MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD

    Publisert: 18.4.2023
13. Unpacking AI Bias: Impact, Detection, Prevention, and Policy; With Guest: Dr. Cari Miller, MBA, FHCA

    Publisert: 11.4.2023
14. A Closer Look at "Adversarial Robustness for Machine Learning" With Guest: Pin-Yu Chen

    Publisert: 28.3.2023
15. Just How Practical Are Data Poisoning Attacks? With Guest: Dr. Florian Tramèr

    Publisert: 28.3.2023
16. A Closer Look at "Securing AIML Systems in the Age of Information Warfare" With Guest: Disesdi Susanna Cox

    Publisert: 28.3.2023