Schnorr Protocol for Non-interactive Zero-Knowledge Proofs

#100daysofcode

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Privacy-Preserving Verifiable Neural Network Inference Service

Regular scripted data entry of MyFitnessPal meals into a Beeminder goal

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning

INTRO 🔥

i can't stop gambling BANGGGG

This repository contains MATLAB code for simulating the central bank's response to either an inflation or demand shock under discretionary policy, commitment policy, or an ad-hoc Taylor rule. I also conduct each simulation under rational and naïve expectations.

This example generates a random 32-byte secret key and a random 32-byte value, and then creates a Pedersen commitment to the value using the secp256k1 library. It then generates a Bulletproof for the commitment using the secp256k1_bulletproofs library, and verifies the proof using the same library.

Replication files for "Image Concerns in Pledges to Give Blood: Evidence from a Field Experiment" (Christian Johannes Meyer & Egon Tripodi)

Code100 is commitment to coding 60+ minutes for 100 days.

Committed to commit

My notes from Commitment book.

Exploring various randomness homomorphic dlog/lattice commitment schemes