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Websites have a new way to spy on visitors: analyzing their SSD activity (arstechnica.com)

submitted 20 hours ago by schnurrito@discuss.tchncs.de to c/privacy@lemmy.dbzer0.com

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[–] Sinonatrix@hexbear.net 9 points 11 hours ago* (last edited 11 hours ago) (2 children)

Then, by running those interactions through a pretrained convolutional neural network—a system that uses deep learning to analyze text, audio, and images—the attacker can deduce various apps and websites open on the device.

This smells like total bullshit. I'm not going to read the paper, but another part of this article seems to identify latency as the sole inputs. If it were really so groundbreaking then where's the demo I can run myself?

[–] Diurnambu1e@hexbear.net 1 points 1 hour ago

Too groundbreaking for a demo. But if you pay 9,99 by month we run it for you and tell you the result.

[–] sp3ctr4l@lemmy.dbzer0.com 1 points 4 hours ago* (last edited 4 hours ago)

Its not bs, pattern analysis of large data sets is literally exactly what LLMs excel at.

Human language is way way way more complex and arbitrary and inconsistent than if you train or use a model to only need to consider a defined kind of data output that follows strict rules precisely, as you'd have in a structured cache of memory.

The demo is also apparently on the way, I believe they said in the paper or the article that they're working toward showing off / making available an actual working example.

There have been previous exploits and methods sort of similar to this kind of 'timing as a spy' method, that can literally discern useful information based only on the minute timing variations of overall power draw from a wall socket a system is plugged into, insane shit like that.