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

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Manage episode 359226003 series 3461851
Content provided by MLSecOps.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MLSecOps.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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://bit.ly/MLSecOpsPodcast.
Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

32 episodes

Artwork
iconShare
 
Manage episode 359226003 series 3461851
Content provided by MLSecOps.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MLSecOps.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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://bit.ly/MLSecOpsPodcast.
Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

32 episodes

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