Steganography providing embedded text and images into a cover image, and later extract them.

Hybrid classical-quantum system for gas leak detection and drone path planning using synthetic GPLA-12 data, classical ML, and quantum-inspired optimization.

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 …

Secure Neural Network Model Watermarking

WebAssembly Dynamic Website Demo

Neural Network Model Reverse Engineering Toolkit

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) a…

Demo of quantum cryptanalysis combining Shor's Algorithm for RSA factorization with Quantum Neural Networks for cryptographic security assessment, running on real IBM quantum computers.

Deep learning framework for classifying traffic sign safety using synthetic data and hybrid quantum-classical models, tested against compound adversarial attacks and enhanced defenses.

Novel approach to wildfire risk prediction by integrating behavioral and social data

Generating and analyzing synthetic traffic sign images using cGANs and safety CNN

A curated collection of educational links and videos covering various cybersecurity and computer science topics.

Demonstrates basic cryptographic concepts using simplified implementations of Diffie-Hellman and RSA algorithms.

Demonstrates key concepts in cryptography and security principles.

Demonstrates six key access control concepts.

Demonstrates of eight common code obfuscation techniques

Cyber analysis tools used in different domains of cybersecurity.

An analysis of binary explotation memory corruption vulnerabilities.

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.

A simulation of network traffic using synthetic network traffic for 802.11, 3G GSM, 4G LTE, and 5G NR

A demonstration of domain generation algorithm (DGA) and determing regular expression and yara rule for each dga.

Performs firmware analysis on a given binary file.

A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.

A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white…

Generative Adversarial Network to generate handwritten digit images similar to the MNIST dataset.

A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.

Simulates the Border Gateway Protocol (BGP) routing process and demonstrates two common BGP attacks: sub-prefix hijacking and BGP prepending.

Demonstrates the implementation of various logical gates using quantum circuits. The code utilizes three popular quantum computing libraries: Cirq, PyQuil, and ProjectQ.

Fuzzy Logic Enhanced Network Traffic Routing with QoS

A language model that generates text based on a given prompt.