Những podcast MLSecOps hay nhất (2023)

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The MLSecOps Podcast

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AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 2) 42:28

9d ago42:28

42:28

*This episode is also available in video format! Click to watch the full YouTube video.* Welcome back, everyone, to The MLSecOps Podcast. We’re thrilled to have you with us for Part 2 of our two-part season finale, as we wrap up Season 1 and look forward to an exciting and revamped Season 2. In this two-part season recap, we’ve been revisiting some…

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The MLSecOps Podcast

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AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 1) 37:10

11d ago37:10

37:10

*This episode is also available in video format! Click to watch the full YouTube video.* Welcome to the final episode of the first season of The MLSecOps Podcast, brought to you by the team at Protect AI. In this two-part episode, we’ll be taking a look back at some favorite highlights from the season where we dove deep into machine learning securi…

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The MLSecOps Podcast

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A Holistic Approach to Understanding the AI Lifecycle and Securing ML Systems: Protecting AI Through People, Processes & Technology; With Guest: Rob van der Veer 29:25

25d ago29:25

29:25

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 presentation at Global AppSec Dublin earlier this year called “Attacking and Protecting Artificial Intelligence” which was a large inspiration for this episode. In it, Rob …

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The MLSecOps Podcast

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ML Model Fairness: Measuring and Mitigating Algorithmic Disparities; With Guest: Nick Schmidt 35:33

1M ago35:33

35:33

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 mitigating bias and potential harms is a critical challenge. Not only that, it’s a challenge that demands a collective effort to ensure the responsible, secure, and equit…

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The MLSecOps Podcast

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Exploring AI/ML Security Risks: At Black Hat USA 2023 with Protect AI 35:20

1M ago35:20

35:20

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 leaders who sat down at Black Hat USA 2023 last week with team members from Protect AI to talk about various facets of AI and machine learning security: - What is the ov…

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The MLSecOps Podcast

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Everything You Need to Know About Hacker Summer Camp 2023 38:59

2M ago38:59

38:59

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 Information Security Officer, Diana Kelley, and Diana talks with two more longtime security experts, Chloé Messdaghi and Dan McInerney, about all things related to what the se…

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The MLSecOps Podcast

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Privacy Engineering: Safeguarding AI & ML Systems in a Data-Driven Era; With Guest Katharine Jarmul 46:44

3M ago46:44

46:44

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 Principal Data Scientist at Thoughtworks, and the author of the popular new book, Practical Data Privacy. Katharine also writes a blog titled, Probably Private, where…

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The MLSecOps Podcast

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The Intersection of MLSecOps and DataPrepOps; With Guest: Jennifer Prendki, PhD 34:40

3M ago34:40

34:40

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 from a blend of the acronym “AL,” standing for Active Learning, and the Latin term for the word “selection,” which is “lectio.” In this episode, Dr. Prendki defines D…

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The MLSecOps Podcast

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The Evolved Adversarial ML Landscape; With Guest: Apostol Vassilev, NIST 30:30

4M ago30:30

30:30

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. The report is co-authored by our guest for this conversation; Apostol Vassilev, NIST Research Team Supervisor. Apostol provides insights into the motivations behind t…

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The MLSecOps Podcast

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Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya Rajpal 39:16

4M ago39:16

39:16

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. Guardrails AI is an open source package that allows users to add structure, type, and quality guarantees to the outputs of large language models (LLMs). In this highly…

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The MLSecOps Podcast

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Indirect Prompt Injections and Threat Modeling of LLM Applications; With Guest: Kai Greshake 36:14

4M ago36:14

36:14

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,” (transcript here -> https://bit.ly/45DYMAG) we dive deep into the world of large language model (LLM) attacks and security. Our conversation with esteemed cyber securi…

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The MLSecOps Podcast

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Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn 33:17

5M ago33:17

33:17

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 motivations that led her to pursue a career in Responsible AI. Diya shares her passion for work related to diversity, equity, and inclusion (DEI), and how Responsible A…

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The MLSecOps Podcast

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ML Security: AI Incident Response Plans and Enterprise Risk Culture; With Guest: Patrick Hall 38:49

5M ago38:49

38:49

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” implementation and risk management. He also shares real-world examples of incidents resulting from the lack of proper AI and machine learning risk management; supportin…

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The MLSecOps Podcast

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AI Audits: Uncovering Risks in ML Systems; With Guest: Shea Brown, PhD 41:02

5M ago41:02

41:02

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 isn’t requesting them but should be? When should organizations request a third party audit of their AI/ML systems and machine learning algorithms? Why should they do …

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The MLSecOps Podcast

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MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann Rehberger 40:29

5M ago40:29

40:29

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 Attacks – Red Team Strategies: A practical guide to building a penetration testing program having homefield advantage” and the popular blog, EmbraceTheRed.com. In this epis…

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The MLSecOps Podcast

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MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD 39:48

5M ago39:48

39:48

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 at Protect AI, guest-hosts with regular co-host D Dehghanpisheh this week. D and Chris discuss various AI and machine learning security topics with Dr. Liaghati, in…

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The MLSecOps Podcast

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Unpacking AI Bias: Impact, Detection, Prevention, and Policy; With Guest: Dr. Cari Miller, MBA, FHCA 39:22

6M ago39:22

39:22

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 mitigate it? Can AI/ML systems be audited for bias and, if so, how? The MLSecOps Podcast explores these questions and more with guest Cari Miller, Founder of the Center …

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The MLSecOps Podcast

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Just How Practical Are Data Poisoning Attacks? With Guest: Dr. Florian Tramèr 47:35

6M ago47:35

47:35

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 learning security operations). Thanks for listening! Find more episodes and transcripts at https://mlsecops.com/podcast. Additional tools and resources to check out: Pro…

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The MLSecOps Podcast

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A Closer Look at "Adversarial Robustness for Machine Learning" With Guest: Pin-Yu Chen 38:39

6M ago38:39

38:39

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 Robustness for Machine Learning." Chen explores the vulnerabilities of machine learning (ML) models to adversarial attacks and provides examples of how to enhance thei…

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The MLSecOps Podcast

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A Closer Look at "Securing AIML Systems in the Age of Information Warfare" With Guest: Disesdi Susanna Cox 30:50

6M ago30:50

30:50

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.io. Thanks for listening! Find more episodes and transcripts at https://mlsecops.com/podcast. Additional tools and resources to check out: Protect AI Radar ModelScan…

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Podcast MLSecOps

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The MLSecOps Podcast

MLSecOps.com

1
AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 2) 42:28

1
AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 1) 37:10

1
A Holistic Approach to Understanding the AI Lifecycle and Securing ML Systems: Protecting AI Through People, Processes & Technology; With Guest: Rob van der Veer 29:25

1
ML Model Fairness: Measuring and Mitigating Algorithmic Disparities; With Guest: Nick Schmidt 35:33

1
Exploring AI/ML Security Risks: At Black Hat USA 2023 with Protect AI 35:20

1
Everything You Need to Know About Hacker Summer Camp 2023 38:59

1
Privacy Engineering: Safeguarding AI & ML Systems in a Data-Driven Era; With Guest Katharine Jarmul 46:44

1
The Intersection of MLSecOps and DataPrepOps; With Guest: Jennifer Prendki, PhD 34:40

1
The Evolved Adversarial ML Landscape; With Guest: Apostol Vassilev, NIST 30:30

1
Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya Rajpal 39:16

1
Indirect Prompt Injections and Threat Modeling of LLM Applications; With Guest: Kai Greshake 36:14

1
Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya Wynn 33:17

1
ML Security: AI Incident Response Plans and Enterprise Risk Culture; With Guest: Patrick Hall 38:49

1
AI Audits: Uncovering Risks in ML Systems; With Guest: Shea Brown, PhD 41:02

1
MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann Rehberger 40:29

1
MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD 39:48

1
Unpacking AI Bias: Impact, Detection, Prevention, and Policy; With Guest: Dr. Cari Miller, MBA, FHCA 39:22

1
Just How Practical Are Data Poisoning Attacks? With Guest: Dr. Florian Tramèr 47:35

1
A Closer Look at "Adversarial Robustness for Machine Learning" With Guest: Pin-Yu Chen 38:39

1
A Closer Look at "Securing AIML Systems in the Age of Information Warfare" With Guest: Disesdi Susanna Cox 30:50

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