CRYSTALS-Kyber is one of the public-key algorithms currently recommended by NIST as part of its post-quantum cryptography standardization process.
Researchers have just published a side-channel attack—using...
Read moreThis is really interesting research from a few months ago:
Abstract: Given the computational cost and technical expertise required to train machine learning models, users may delegate the task...
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The field of machine learning (ML) security—and corresponding adversarial ML—is rapidly advancing as researchers develop sophisticated techniques to perturb, disrupt, or steal the ML model or data. It’s a...
Read moreWith the release of ChatGPT, I’ve read many random articles about this or that threat from the technology. This paper is a good survey of the field:...
Read moreLessons for us all: improve cryptography, fight cybercrime, own your supply chain... and don't steal my data and then pretend you're sorry.
Read moreThe bad news: the crooks have your SSH private keys. The good news: only users of the "nightly" build were affected.
Read moreMachine learning security is extraordinarily difficult because the attacks are so varied—and it seems that each new one is weirder than the next. Here’s the latest: a training-time attack...
Read moreResearchers have used thermal cameras and ML guessing techniques to recover passwords from measuring the residual heat left by fingers on keyboards. From the abstract:
We detail the implementation...
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Hacking on actual computers is one thing, but hacking purposefully on imaginary computers is, these days, something we can only imagine.
Read moreInteresting research: “ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks, by Tim Clifford, Ilia Shumailov, Yiren Zhao, Ross Anderson, and Robert Mullins:
Abstract: Early backdoor attacks against machine...
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