Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning

Privacy-Preserving Verifiable Neural Network Inference Service

i can't stop gambling BANGGGG

Exploring various randomness homomorphic dlog/lattice commitment schemes

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.

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.

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

INTRO 🔥

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

Committed to commit

Schnorr Protocol for Non-interactive Zero-Knowledge Proofs

Regular scripted data entry of MyFitnessPal meals into a Beeminder goal

#100daysofcode

My notes from Commitment book.