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Name: Eric Yocam
Type: User
Company: Freelance
Bio: A life-long learner, inventor, educator, and practitioner. I have a keen interest in defenses to protect cyber quantum ai.
Location: San Diego
Name: Eric Yocam
Type: User
Company: Freelance
Bio: A life-long learner, inventor, educator, and practitioner. I have a keen interest in defenses to protect cyber quantum ai.
Location: San Diego
A classical or convolutional neural network model with adversarial defense protection
A classical-quantum or hybrid neural network with adversarial defense protection
An analysis of binary explotation memory corruption vulnerabilities.
Analyze a Wireshark pcap with Wi-Fi 802.11 network traffic using Scapy
Simulates the Border Gateway Protocol (BGP) routing process and demonstrates two common BGP attacks: sub-prefix hijacking and BGP prepending.
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
Cyber analysis tools used in different domains of cybersecurity.
A comprehensive mapping of the Cyber Kill Chain and MITRE ATT&CK frameworks to various tools and techniques commonly used in malware analysis, reverse engineering, and software exploitation analysis.
Implements a Delphi of GANs approach to detect bias in pre-trained language models and provides a novel way to assess and compare bias levels in different models across multiple dimensions such as gender, racial, and age bias
Generates Executable and Linkable Format files for different types (executable, shared, and object) and versions (32-bit and 64-bit).
Implements a multi-level approach to image encryption and signing using post-quantum cryptographic techniques, with a focus on the FALCON (Fast-Fourier Lattice-based Compact Signatures over NTRU) algorithm for digital signatures.
Demonstrates a combination of 2D-Discrete Wavelet Transform (2D-DWT) with post-quantum cryptographic techniques, including a simulated version of the Falcon signature algorithm, for securing images.
Demonstrates a multi-level encryption approach for securing images by combining traditional cryptographic techniques with post-quantum encryption methods.
A demonstration of exploartory data analysis with hypothesis testing.
Compares four different methods for generating uniformly distributed random points within a unit circle
Fuzzy Logic Enhanced Network Traffic Routing with QoS
GAN and Monte Carlo simulation provides a powerful approach for identifying anomalies in complex datasets.
Generative Adversarial Network to generate handwritten digit images similar to the MNIST dataset.
A demonstration of domain generation algorithm (DGA) and determing regular expression and yara rule for each dga.
The GenCyber 10 Security First Principles are a set of fundamental best practices and guidelines for cybersecurity
Creates an interactive visualization of unemployment data for Washington and California State counties. It combines geographical data with unemployment statistics to produce a choropleth map and a detailed table.
Capture images from your webcam and detect specific objects using pre-trained Haar Cascade classifiers
Hybrid neural network is protected against adversarial attacks using various defense techniques, including input transformation, randomization, and adversarial training.
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
Registration of pre-trained models found on Hugging Face using blockchain technology
Demonstrates basic quantum image processing techniques using Qiskit
The X-Force IGAVE Toolkit is a Python-based application that provides a visualization demonstration of various concepts related to innovation, market adoption, and emerging technologies.
Performs firmware analysis on a given binary file.
Allows users to create, manage, and interact with a database of malware families
A portfolio of machine learning algorithms that are essential and commonly used.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.