Need Help with Biased Nonce Generation for Research

I'm on the hunt for a program or method to create biased nonce signatures that reflect real-world scenarios for my research. I really want to dig deeper into lattices for cryptanalysis and tackle HNP. I'm starting with 64-bit biased nonces and plan to work my way down from there. I found a database of signatures for 1-bit nonce bias, but I'm looking for something that covers a range from 64 all the way down to 1 or 2. Anyone got any suggestions or a database of signatures with biases I could use for my testing and research? Just to clarify, I'm aware of the deterministic nonces in Bitcoin, and this isn't for any attack but purely for research.

If you dig through that GitHub repo you linked, you'll notice it's already basically the seed crystal that you need. It's solving the HNP setup and it has a toy pipeline for producing and/or consuming signatures in the exact format the lattice code expects. Instead of hunting for some magical database of "realistic" biased signatures, just generate your own in a clean sandbox with a throwaway key and a nonce source you intentionally cripple in controlled ways, then crank the parameter knob and watch where the solver starts to succeed or fail.

Thanks I am using that and the minerva set decided to build my own DB Research is not on LLL or BKZ algorithms but something else. It would nice to have a clean set of tested DBs which have been verified by community

I'm building a suite of Rust tools for blockchain security research: vusi - ECDSA signature vulnerability analysis. Currently implements nonce reuse detection with private key recovery. Roadmap includes: Biased nonce attacks (HNP/lattice) - #3LCG nonce detection - #4Polynonce attacks - #2Vulnerable signature generator for research - #8 (generate biased/LCG/related nonces with controlled parameters, 64-bit down to 1-bit) vuke - Weak key generation analysis. Reproduces historical vulnerabilities: brainwallets, Milksad (MT19937), MultiBit HD bug, Electrum pre-BIP39, LCG/Xorshift PRNGs, SHA256 chains. Both generates weak keys and scans for them. vusi follows the same architecture - one tool that generates test data and analyzes/attacks it. Complete research pipeline. If you're interested in contributing or testing, repos are open.

It is pretty great. Looks Well Written. I am working on a project of my own and been looking for dataset like the r,s,z values that have nonce bias like this one here (https://github.com/crocs-muni/minerva/tree/master/data) Thanks for your Code! Will Test it out and Provide Analysis