אודות פרק זה
On Episode 157 of the Silver Bullet Security Podcast, BIML’s Gary McGraw hosts Tim Schulz. Tim talks about whitebox control and observability in machine learning systems (and especially transformer architectures), the limits of red teaming for securing AI, "neural surgery," Agentic AI and the confused deputy problem, and the economics of network "smallification."
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פרקים אחרים בפודקאסט הזה
On Episode 156 of the Silver Bullet Security Podcast, BIML’s Gary McGraw hosts Phil Venables. Phil talks about the evolution of the CISO role from running an engineering team in the '90s back into running an engineering team in the mid-2020s, Agentic AI and tools using tools, the rise of mac…
Welcome back to the Silver Bullet Security Podcast, created and hosted by the Berryville Institute of Machine Learning, where we are defining the future of machine learning security. From 2006-2018, we explored the nascent field of software security through the lens of building security in. …
On Episode 154 of the Silver Bullet Security Podcast, Gary McGraw hosts Gadi Evron. Gadi talks about the [un]prompted conference and its focus on fundamental aspects of machine learning security. The conversation touches on current approaches to MLsec, the words we use to describe AI securit…
On Episode 155 of the Silver Bullet Security Podcast, BIML's Gary McGraw hosts Giovanni Vigna. Giovanni talks about the evolution of software exploit and AI, what has happened in the security field since 2011 (and episode 65), getting inside connectionist networks to see what is actually hap…
הצהרה: הפודקאסט והגרפיקה המוטבעים בדף זה הם מ-Gary McGraw, שהוא רכושו של בעליו ואינו קשור או מאושר על ידי Listen Notes, Inc.
