The Old, the New, and the Strange: Securing Deep Learning | Assemble 2025 @chainguard
The Old, the New, and the Strange: Securing Deep Learning | Assemble 2025  @chainguard
Uploaded March 2025 | Updated September 2026, 21 hours ago
Data poisoning. Input manipulation. Model inversion. As companies race to incorporate deep learning into production applications, we've been introduced to exciting new threats. But how much is totally new under the sun, and how much have we seen before?

In this interactive and meme-filled session, we figure out what's old, new, or just plain strange in the rapidly-changing world of deep learning. We also demo Chainguard's approach to deep learning infrastructure and model security. Get excited — deep learning might be deeply strange, but there's plenty we can do to make deploying it more secure.


About Chainguard
Founded by the industry's leading experts on open source software, security and cloud native development, we are on a mission to be the safe source for open source.

Where to find us:
Website: https://www.chainguard.dev/
Twitter: twitter.com/chainguard_dev
LinkedIn: linkedin.com/company/chainguard-dev
TikTok: tiktok.com/@chainguard_dev
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The Old, the New, and the Strange: Securing Deep Learning | Assemble 2025

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