spr-alex
Joined 3 years ago
Joined 3 years ago
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Unfortunately this first phrase is not strictly true in the sense that UK customers have their e2ee secrets exposed under common use cases, without requiring a passcode. My copresenter and I published some research at DEF CON 34 this year showing how the e2ee data is particularly vulnerable when ADP is off. Overall, people that do not work with extraction capabilities are currently over-estimating the strength of apple's e2ee and encryption in general. The platform security whitepaper documentation is insufficient on transparency and there are a number of best practices Apple is not following to better meet the e2ee claims they currently advertise.
1) the jobs act introduced a toxic R&D code from 2022-2025
2) tariffs with no reasonable means of manufacturing domestically and inhibited developing production lines with the prior tax code fiasco
If we want to talk RSA the engineering journey from factoring 21 to 35 is big, because it requires creating logical qubits with error rates that we are only now seeing companies report. But the engineering journey from 32 bits that are tolerant enough to run a factoring algorithm to doing the same with 4096 appears linear in engineering cost is what I am claiming.
For RSA specifically the resource have come down. I am not yet up to date on this round of papers however the 2024 result https://eprint.iacr.org/2024/222 had it down to n/2 + O(N) logical qubits.
"Here, by leveraging advances in high-rate quantum error-correcting codes, efficient logical instruction sets, and circuit design, we show that Shor’s algorithm can be executed at cryptographically relevant scales with as few as 10,000 reconfigurable atomic qubits. "
That's physical, not logical qubits.
1. Static analysis catches nearly all bugs with near-total code coverage
2. Private tooling extends that coverage further with better static analysis and dynamic analysis, and that edge is what makes contractors valuable
3. Humans focus on design flaws and weird hardware bugs like cryptographic side-channels from electromagnetic emanations
Turns out finding all the bugs is really hard. Codebases and compiler output have exploded in complexity over 20 years which has not helped the static analysis vision. Todays mitigations are fantastic compared to then, but just this month a second 0day chain got patched on one of the best platforms for hardware mitigations.
I think LLMs get us meaningfully closer to what I thought this work already was when I was 18 and didn't know anything.
e-mail: lambda at supernetworks.org