Confused Learning: Supply Chain Attacks through Machine Learning Models | A Conversation With Adrian Wood and Mary Walker | On Location Coverage with Sean Martin and Marco Ciappelli

ITSPmagazine Podcast Network

Guests:

Mary Walker, Security Engineer, Dropbox [@Dropbox]

On LinkedIn | https://www.linkedin.com/in/marywalkerdfir/

At Black Hat | https://www.blackhat.com/asia-24/briefings/schedule/speakers.html#mary-walker-47392

Adrian Wood, Security Engineer, Dropbox [@Dropbox]

On LinkedIn | https://www.linkedin.com/in/adrian-wood-threlfall/

At Black Hat | https://www.blackhat.com/asia-24/briefings/schedule/speakers.html#adrian-wood-39398

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Hosts:

Sean Martin, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining CyberSecurity Podcast [@RedefiningCyber]

On ITSPmagazine | https://www.itspmagazine.com/sean-martin

Marco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society Podcast

On ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli

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Episode Notes

On this episode of On Location with Sean and Marco, Sean Martin hosts the show solo, discussing supply chain attacks through machine learning models with guests Mary Walker and Adrian Wood. Mary and Adrian, both security engineers at Dropbox, share insights on their journey in cybersecurity and research on exploiting machine learning models. They delve into the implications of machine learning models being used as software programs containing malware and the risks associated with model repositories.

The conversation explores the ease of poisoning machine learning models and the importance of understanding the provenance of models for risk mitigation. Mary and Adrian emphasize the need for enhanced detection mechanisms for shadow AI and proactive measures for securing model repositories. Additionally, they discuss the impact of AI standardization and the legal implications surrounding AI development.

The episode concludes with a call to action for listeners to engage in discussions on supply chain attacks, join Mary and Adrian for their talk at Black Hat Asia, participate in Q&A sessions, and contribute to the open-source tools developed by the guests.

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Resources

Confused Learning: Supply Chain Attacks through Machine Learning Models: https://www.blackhat.com/asia-24/briefings/schedule/#confused-learning-supply-chain-attacks-through-machine-learning-models-37794

Offensive Machine Learning Playbooks: https://wiki.offsecml.com

Blog describing the attack killchain for bug bounty: https://5stars217.github.io

Learn more about Black Hat Asia 2024: https://www.blackhat.com/asia-24/

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