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#mlsec — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #mlsec, aggregated by home.social.

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  1. A long interview about #AI security with a veteran security reporter, and some random retired guy. Have a listen. #MLsec

    youtu.be/M9uUuWnUb-A?is=MfTD-c

  2. A long interview about #AI security with a veteran security reporter, and some random retired guy. Have a listen. #MLsec

    youtu.be/M9uUuWnUb-A?is=MfTD-c

  3. We have been actively concerned about colony behavior among #AI agents (well past the small group of ants). Rightly so, it seems. This is it.

    #MLsec

    youtu.be/87DyyMV0kCY?is=nzeqzy

  4. We have been actively concerned about colony behavior among #AI agents (well past the small group of ants). Rightly so, it seems. This is it.

    #MLsec

    youtu.be/87DyyMV0kCY?is=nzeqzy

  5. I was honored and super pleased to interview Melanie Mitchell for Silver Bullet. I have looked up to Melanie since 1988 when she was dughof's star PhD and helped welcome me into FARG. We talk about measurement, #ML #AI, alien intelligence, and #MLsec.

    berryvilleiml.com/2026/08/01/s

  6. I was honored and super pleased to interview Melanie Mitchell for Silver Bullet. I have looked up to Melanie since 1988 when she was dughof's star PhD and helped welcome me into FARG. We talk about measurement, #ML #AI, alien intelligence, and #MLsec.

    berryvilleiml.com/2026/08/01/s

  7. Today I get to pretend to be an academic instead of an applied technologist. High science! #MLsec for the NSF. #ML #AI

    blog.umd.edu/satc-pi-meeting/p

  8. Today I get to pretend to be an academic instead of an applied technologist. High science! #MLsec for the NSF. #ML #AI

    blog.umd.edu/satc-pi-meeting/p

  9. Is escaping the sandbox new for #AI models? Nope. @roblemos provides important background on #AI crime (I am quoted in the story)

    #MLsec

    darkreading.com/cybersecurity-

  10. Is escaping the sandbox new for #AI models? Nope. @roblemos provides important background on #AI crime (I am quoted in the story)

    #MLsec

    darkreading.com/cybersecurity-

  11. @jdp23 @mttaggart jon is, as usual, both right and too far ahead of the game #MLsec

  12. @jdp23 @mttaggart jon is, as usual, both right and too far ahead of the game #MLsec

  13. Here we go @gadi... direct from the messy side of the technical wars where they still have not quite figured out that security only works when you BUILD SECURITY IN #MLsec

  14. Here we go @gadi... direct from the messy side of the technical wars where they still have not quite figured out that security only works when you BUILD SECURITY IN #MLsec

  15. Use it. Don't use it. Buy it. Don't buy it. You need it. You don't need it.

    Angel says yes. Devil says no...or is that backwards?

    #ML #AI #MLsec

    arstechnica.com/ai/2026/07/us-

  16. Use it. Don't use it. Buy it. Don't buy it. You need it. You don't need it.

    Angel says yes. Devil says no...or is that backwards?

    #ML #AI #MLsec

    arstechnica.com/ai/2026/07/us-

  17. @noplasticshower @dennisf also note that this identity does most of the #MLsec heavy lifting around here

  18. @noplasticshower @dennisf also note that this identity does most of the #MLsec heavy lifting around here

  19. @gleick I understand that perspective. Autonomy means autonomy. The company chose to make autonomous things...which by definition don't react well to the control thing.

    And this is Agentic AI...a far cry from an LLM. Tool use with RL.

    #MLsec

  20. @gleick I understand that perspective. Autonomy means autonomy. The company chose to make autonomous things...which by definition don't react well to the control thing.

    And this is Agentic AI...a far cry from an LLM. Tool use with RL.

    #MLsec

  21. Is this hugging face hack by OpenAI Agentic bots who escaped the lab important?

    nytimes.com/2026/07/21/technol

    Yes, especially in light of this 
    berryvilleiml.com/2026/06/05/b

    It is both inevitable and very concerning.  Autonomy cuts both ways.  As the arsenal of sneaky tricks gets bigger, we can expect more interesting exploit chains.

    #MLsec #AI

  22. Is this hugging face hack by OpenAI Agentic bots who escaped the lab important?

    nytimes.com/2026/07/21/technol

    Yes, especially in light of this 
    berryvilleiml.com/2026/06/05/b

    It is both inevitable and very concerning.  Autonomy cuts both ways.  As the arsenal of sneaky tricks gets bigger, we can expect more interesting exploit chains.

    #MLsec #AI

  23. #MLsec in the real world

    "If you build critical business processes around a single AI service, what happens when that service disappears overnight? Earlier this year, organisations using Anthropic’s Claude Fable 5 and Mythos 5 models were forced to answer exactly that question."

    isms.online/artificial-intelli

  24. #MLsec in the real world

    "If you build critical business processes around a single AI service, what happens when that service disappears overnight? Earlier this year, organisations using Anthropic’s Claude Fable 5 and Mythos 5 models were forced to answer exactly that question."

    isms.online/artificial-intelli

  25. When the government is a disaster on all fronts, that leaks into #AI

    The blind lead the blind on the security front. #MLsec is both essential and nontrivial

    wsj.com/tech/ai/anthropics-pol

  26. When the government is a disaster on all fronts, that leaks into #AI

    The blind lead the blind on the security front. #MLsec is both essential and nontrivial

    wsj.com/tech/ai/anthropics-pol

  27. @gcve @aristot73 @trailofbits @jamesberthoty @jackhcable We are not really focused on #swsec as much as #MLsec at BIML. Thank you for the suggestion, though.

  28. @gcve @aristot73 @trailofbits @jamesberthoty @jackhcable We are not really focused on #swsec as much as #MLsec at BIML. Thank you for the suggestion, though.

  29. LLMs identify roles from an insecure feature (style)," they explain. "This is like identifying a stranger's profession from how they talk and dress rather than by checking their ID..." #MLsec

  30. LLMs identify roles from an insecure feature (style)," they explain. "This is like identifying a stranger's profession from how they talk and dress rather than by checking their ID..." #MLsec

  31. Episode 158: Artem Dinaburg.  Artem talks about using Agentic AI to find, fix, and exploit software security defects.  We talk decompilation, stochasticism and the tension between harness development and LLM nondeterminism, human intuition, and the hard parts of program analysis.  We also talk about MLsec (machine learning security), recursive pollution, and tokenization.  Do we need more people in software security in the age of AI?  Yes we do.

    Listen to episode 158

    #MLsec