Time Signature Based Matching for Data Fusion and Coordination Detection in Cyber Relevant Logs
Methodology for detecting automated behavior in cyber logs using temporal pattern matching, scalable through locality sensitive hashing. Applications include anomaly detection and data fusion.
Parallel Hashing via List Recoverability
Explore parallel hashing techniques, focusing on list recoverability and its applications in cryptographic constructions like Merkle trees and domain extension schemes.
Structure Preserving Smooth Projective Hashing
Explore advanced cryptographic techniques with a focus on structure-preserving smooth projective hashing, presented by experts at Asiacrypt 2016.
Speeding Up Search With Locality Sensitive Hashing
Explore locality sensitive hashing for faster search and similarity comparisons, with practical Python implementations and real-world applications in image search and collaborative filtering.
Node JS Authentication and Data Security
Explore secure authentication and data protection in Node.js, covering OAuth 2, OpenID Connect, middleware services, hashing algorithms, and common pitfalls to build robust user and data security infrastructure.
CompSci and My Day Job
Practical application of computer science concepts in everyday development, from Big-O notation to cryptography, enhancing performance and security in real-world projects.
Highly Available, Distributed & Resilient Software Team
Explore secure data handling in IoT SaaS using public-key encryption and hashing for pseudo-anonymization, balancing privacy, usability, and performance.
A Quasi-Monte Carlo Algorithm for Smooth Kernel Evaluation
Explore a novel data structure for density queries, combining discrepancy theory and LSH to build sparse coresets and enhance smooth kernel evaluation algorithms.
Understanding Distance Metrics in Data Mining - Spring 2023
Explore various distance metrics in data mining, from Euclidean and Manhattan to Mahalanobis and Angular, learning their applications, limitations, and relationships to LSH algorithms.
Scaling Up AI: Embedding Physics Modeling into End-to-end Learning and Harnessing Random Projection
Explore AI-driven scientific discovery through embedding physics models in end-to-end learning and utilizing random projection for efficient simulation and gradient propagation in PDE-based systems.
Generalizations of Matrix Multiplication for Solving the Light Bulb Problem
Explore a novel approach to solving the Light Bulb Problem using tensor-based algorithms, potentially outperforming traditional matrix multiplication methods for faster data analysis and pattern recognition.