The MLSecOps Podcast

By MLSecOps.com

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Subscribers: 3
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Episodes: 30

Description

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.


Episode Date
Evaluating RAG and the Future of LLM Security: Insights with LlamaIndex
Apr 23, 2024
AI Threat Research: Spotlight on the Huntr Community
Mar 13, 2024
Securing AI: The Role of People, Processes & Tools in MLSecOps
Feb 29, 2024
ReDoS Vulnerability Reports: Security Relevance vs. Noisy Nuisance
Feb 27, 2024
Finding a Balance: LLMs, Innovation, and Security
Feb 15, 2024
Secure AI Implementation and Governance
Feb 13, 2024
Risk Management and Enhanced Security Practices for AI Systems
Feb 06, 2024
Evaluating Real-World Adversarial ML Attack Risks and Effective Management: Robustness vs Non-ML Mitigations
Nov 28, 2023
From Risk to Responsibility: Violet Teaming in AI; With Guest: Alexander Titus
Oct 24, 2023
Cybersecurity of Tomorrow: Exploring the Future of Security and Governance for AI Systems; With Guest: Martin Stanley, CISSP
Oct 18, 2023
AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 2)
Sep 21, 2023
AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 1)
Sep 19, 2023
A Holistic Approach to Understanding the AI Lifecycle and Securing ML Systems: Protecting AI Through People, Processes & Technology; With Guest: Rob van der Veer
Sep 05, 2023
ML Model Fairness: Measuring and Mitigating Algorithmic Disparities; With Guest: Nick Schmidt
Aug 18, 2023
Exploring AI/ML Security Risks: At Black Hat USA 2023 with Protect AI
Aug 17, 2023
Everything You Need to Know About Hacker Summer Camp 2023
Aug 03, 2023
Privacy Engineering: Safeguarding AI & ML Systems in a Data-Driven Era; With Guest Katharine Jarmul
Jul 12, 2023
The Intersection of MLSecOps and DataPrepOps; With Guest: Jennifer Prendki, PhD
Jun 21, 2023
The Evolved Adversarial ML Landscape; With Guest: Apostol Vassilev, NIST
Jun 14, 2023
Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya Rajpal
Jun 07, 2023
Indirect Prompt Injections and Threat Modeling of LLM Applications; With Guest: Kai Greshake
May 24, 2023
Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn
May 17, 2023
ML Security: AI Incident Response Plans and Enterprise Risk Culture; With Guest: Patrick Hall
May 10, 2023
AI Audits: Uncovering Risks in ML Systems; With Guest: Shea Brown, PhD
May 03, 2023
MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann Rehberger
Apr 26, 2023
MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD
Apr 18, 2023
Unpacking AI Bias: Impact, Detection, Prevention, and Policy; With Guest: Dr. Cari Miller, MBA, FHCA
Apr 11, 2023
A Closer Look at "Adversarial Robustness for Machine Learning" With Guest: Pin-Yu Chen
Mar 28, 2023
Just How Practical Are Data Poisoning Attacks? With Guest: Dr. Florian Tramèr
Mar 28, 2023
A Closer Look at "Securing AIML Systems in the Age of Information Warfare" With Guest: Disesdi Susanna Cox
Mar 28, 2023