Popular GitHub Repositories for Ecdsa Signature

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ??

sigmaker is a zero-dependency IDA Pro 9.0+ cross-platform signature maker plugin with optional SIMD (e.g. AVX2/NEON/SSE2) speedups that works on MacOS/Linux/Windows. It allows configurable wildcard operand patterns, nibbles, and signature generation just by right clicking.

A package for signature detection

In progress. Web service for analyzing network traffic dumps (PCAP) with RAG. Detection of attacks through signature methods, integration with Threat Intelligence systems and AI.

En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.

Poqeth：在以太坊上高效验证后量子签名

Email Signature remover - Extracting email body out of the email text in order to get accurate sentiment results, using NLP tasks.

Online Handwriting Signature Verification using CNN + RNN.

SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification", ICPR 2022

SigNet (Detecting Signature Similarity using Machine Learning/Deep Learning): Is this the end of Human Forensic Analysis?

?️ Not anonymous, but ethical. I explore blockchain not to break it, but to protect it. Open source + transparency = power.

Methodology for anomaly detection on multivariate streams using path signatures and the variance norm.

A web application for signature detection.

This research introduces MCP Signature Cloaking - a novel backdoor technique that allows attackers to exploit hidden parameters in MCP servers, concealing malicious behavior behind interfaces that appear legitimate to both developers and AI models.

Machine Learning model made by me and my colleagues for Signature and Facial Recognition which is helpful in Finance Sector considering the need of Security.

Extended Learnable Iterated Sums Signature Architecture

Reference ERC7518 security token

Machine learning triggering algorithm in Python (TensorFlow 2) for weak and noisy signal from CRES. This version of the algorithm utilizes LSTM units to learn from the chirping signature of CRES signal in Fourier space. MLFlow hyperparameter optimization with multi-GPU parallelization has been added.

? Experience true value in search with Bitcoin Search, using economic weight to rank content based on real micropayments, not backlinks.

Created an AI-based web app that performs analytics on customer feedback for their signature products. To accomplish this requirement, I created an Emotion Detection system that processes feedback provided by the customer in text format and deciphers the associated emotion expressed.