The MLSecOps Podcast

54 Episodes

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

   Published: 7/12/2023
2. The Intersection of MLSecOps and DataPrepOps; With Guest: Jennifer Prendki, PhD

   Published: 6/21/2023
3. The Evolved Adversarial ML Landscape; With Guest: Apostol Vassilev, NIST

   Published: 6/14/2023
4. Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya Rajpal

   Published: 6/7/2023
5. Indirect Prompt Injections and Threat Modeling of LLM Applications; With Guest: Kai Greshake

   Published: 5/24/2023
6. Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn

   Published: 5/17/2023
7. ML Security: AI Incident Response Plans and Enterprise Risk Culture; With Guest: Patrick Hall

   Published: 5/10/2023
8. AI Audits: Uncovering Risks in ML Systems; With Guest: Shea Brown, PhD

   Published: 5/3/2023
9. MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann Rehberger

   Published: 4/26/2023
10. MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD

    Published: 4/18/2023
11. Unpacking AI Bias: Impact, Detection, Prevention, and Policy; With Guest: Dr. Cari Miller, MBA, FHCA

    Published: 4/11/2023
12. A Closer Look at "Adversarial Robustness for Machine Learning" With Guest: Pin-Yu Chen

    Published: 3/28/2023
13. Just How Practical Are Data Poisoning Attacks? With Guest: Dr. Florian Tramèr

    Published: 3/28/2023
14. A Closer Look at "Securing AIML Systems in the Age of Information Warfare" With Guest: Disesdi Susanna Cox

    Published: 3/28/2023