The MLSecOps Podcast
Welcome to The MLSecOps Podcast, presented by Protect AI. Here we explore the world of machine learning security operations, a.k.a., MLSecOps. From preventing attacks to navigating new AI regulations, we'll dive into the latest developments, strategies, and best practices with industry leaders and AI experts. Sit back, relax, and learn something new with us today.
Learn more and get involved with the MLSecOps Community at https://bit.ly/MLSecOps.
- Update frequency
- every 11 days
- Average duration
- 36 minutes
- Episodes
- 58
- Years Active
- 2023 - 2025
A Holistic Approach to Understanding the AI Lifecycle and Securing ML Systems: Protecting AI Through People, Processes & Technology; With Guest: Rob van der Veer
Joining us for the first time as a guest host is Protect AI’s CEO and founder, Ian Swanson. Ian is joined this week by Rob van der Veer, a pioneer in AI and security. Rob gave a present…
ML Model Fairness: Measuring and Mitigating Algorithmic Disparities; With Guest: Nick Schmidt
This week we’re talking about the role of fairness in AI/ML. It is becoming increasingly apparent that incorporating fairness into our AI systems and machine learning models while mitig…
Exploring AI/ML Security Risks: At Black Hat USA 2023 with Protect AI
Watch the video for this episode at: https://mlsecops.com/podcast/exploring-ai/ml-security-risks-at-black-hat-usa-2023
This episode of The MLSecOps Podcast features expert security lead…
Everything You Need to Know About Hacker Summer Camp 2023
Welcome back to The MLSecOps Podcast for this week's episode, “Everything You Need to Know About Hacker Summer Camp 2023.”
This week, our show is hosted by Protect AI's Chief Informatio…
Privacy Engineering: Safeguarding AI & ML Systems in a Data-Driven Era; With Guest Katharine Jarmul
Welcome to The MLSecOps Podcast, where we dive deep into the world of machine learning security operations. In this episode, we talk with the renowned Katharine Jarmul. Katharine is a P…
The Intersection of MLSecOps and DataPrepOps; With Guest: Jennifer Prendki, PhD
On this week’s episode from The MLSecOps Podcast, we have the pleasure of hearing from Dr. Jennifer Prendki, founder and CEO of Alectio - The DataPrepOps Company. Alectio’s name comes f…
The Evolved Adversarial ML Landscape; With Guest: Apostol Vassilev, NIST
In this episode, we explore the National Institute of Standards and Technology (NIST) white paper, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations. T…
Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya Rajpal
In “Navigating the Challenges of LLMs: Guardrails to the Rescue,” Protect AI Co-Founders, Daryan Dehghanpisheh and Badar Ahmed, interview the creator of Guardrails AI, Shreya Rajpal.
Gua…
Indirect Prompt Injections and Threat Modeling of LLM Applications; With Guest: Kai Greshake
This talk makes it increasingly clear. The time for machine learning security operations - MLSecOps - is now.
In “Indirect Prompt Injections and Threat Modeling of LLM Applications,” (t…
Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn
In this episode of The MLSecOps Podcast, Diya Wynn, Sr. Practice Manager in Responsible AI in the Machine Learning Solutions Lab at Amazon Web Services shares her background and the mot…
ML Security: AI Incident Response Plans and Enterprise Risk Culture; With Guest: Patrick Hall
In this episode of The MLSecOps Podcast, Patrick Hall, co-founder of BNH.AI and author of "Machine Learning for High-Risk Applications," discusses the importance of “responsible AI” imp…
AI Audits: Uncovering Risks in ML Systems; With Guest: Shea Brown, PhD
Shea Brown, PhD explores with us the “W’s” and security practices related to AI and algorithm audits.
What is included in an AI audit?
Who is requesting AI audits and, conversely, who i…
MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann Rehberger
Johann Rehberger is an entrepreneur and Red Team Director at Electronic Arts. His career experience includes time with Microsoft and Uber, and he is the author of “Cybersecurity Attack…
MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD
This week The MLSecOps Podcast talks with Dr. Christina Liaghati, AI Strategy Execution & Operations Manager of the AI & Autonomy Innovation Center at MITRE.
Chris King, Head of Product …
Unpacking AI Bias: Impact, Detection, Prevention, and Policy; With Guest: Dr. Cari Miller, MBA, FHCA
What is AI bias and how does it impact both organizations and individual members of society? How does one detect if they’ve been impacted by AI bias? What can be done to prevent or miti…
A Closer Look at "Adversarial Robustness for Machine Learning" With Guest: Pin-Yu Chen
In this episode of The MLSecOps podcast, the co-hosts interview Pin-Yu Chen, Principal Research Scientist at IBM Research, about his book co-authored with Cho-Jui Hsieh, "Adversarial Ro…
Just How Practical Are Data Poisoning Attacks? With Guest: Dr. Florian Tramèr
ETH Zürich's Assistant Professor of Computer Science, Dr. Florian Tramèr, joins us to talk about data poisoning attacks and the intersection of Adversarial ML and MLSecOps (machine lear…
A Closer Look at "Securing AIML Systems in the Age of Information Warfare" With Guest: Disesdi Susanna Cox
Security researcher, AI/ML architect, & former political operative, Disesdi Susanna Cox, talks with us about her research, some of which can be accessed via her website: anglesofattack.…