Happy to share Chained Uniform-sum Tree Signatures (CUTS), a few-time signature scheme built from hash chains!
We've been working on CUTS at @projecteleven with my great colleagues @conordeegan, @salzone13, and @jmie3x. As we keep working on it to make it even better, we are now presenting it to the cryptography and blockchain communities.
We will be releasing the paper soon! For today, see our write-up below 👇
For those who missed it, we just posted the second episode of our TFHE series where @furkanakal explains how linear operations are performed on GLWE ciphertexts.
(Reference Guide: TFHE-rs Handbook by
@zama)
Watch ↓
https://t.co/Rk5x2o3bYC
We’re continuing our series on privacy protocols.
In this video, @furkanakal breaks down what @RAILGUN_Project is and how it powers confidential tokens.
Watch ↓
There are many privacy solutions based on Zether these days. If you're wondering how it simply works and have missed our latest video, take a look!
Also turn the notifications from @EncryptOnchain on for the video of the week.
Confidential transfers are essential for mass adoption.
In the first video of our new series on confidential transfers, @furkanakal breaks down how Zether works.
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So if you’re thinking about proof systems, don’t just ask “What can it prove?”. Also ask: “How big is the proof?” and “How fast is verification?”
That’s what succinctness is about!
Most people think about proof systems in terms of what they can prove.
But there’s a whole other dimension that’s just as important: How big are the proofs?
This is where we start talking about succinctness 🧵
Succinctness is also the difference between feasible and infeasible in the real world.
You could write down the entire transcript of a computation. But if someone can just hand you a tight little proof that says “this was done correctly,” and you can check it instantly?
That’s a real thing!
How would you decide who is richer from a set of two people in a confidential way?
@miguel_de_vega from @nillion explains Yao's millionaire problem and some ways to solve it.
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We’re excited to launch a new whiteboard video series where we briefly break down privacy protocols in Web3.
In the first episode, @furkanakal explores @nillion — what it is and how it brings privacy to blockchains.
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For those who missed it, we just posted the first episode of our TFHE series where @furkanakal made an intro and touched on morphology of FHE ciphertexts.
(Reference Guide: TFHE-rs Handbook by @zama)
Watch ↓
https://t.co/r3e1vEz8pf
FHE verifiability is a fairly new and wide open field of research. If you are into math and privacy at the same time, jump in!
In this short video @furkanakal highlights why verifiability matters in FHE
Watch ↓