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Attacking tabular neural-network models through crafting adversarial examples
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Use-case Driven Open and Neutral Telco Datasets
This project contains scripts to generate datasets from 4G and 5G mobile networks. It comes packaged with the base ns-3 module along with additional third party ns-3 modules that are required to ge…
Analysis of real cellular traffic captured on a device
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
This repository provides 5G security datasets, including pcap files, CSV datasets, and AMF log screenshots for flooding, fuzzing, and replay attacks on Control and Data Planes. Generated using Open…
A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)
Shreyas-borse / 5G-Connectivity-Cellular-Key-Performance-Indicators-KPIs-Analysis-and-Comparison
Forked from Jeremy-C-Wong/ECE143-ProjectIn this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(v…
The Intelligent Telecom Optimization System application for Telecom 4G/5G data analysis and optimization. This system ingests diverse telecom datasets (PLMN, Region, Carrier, Cell) and provides int…
Network Data Analytics Function - Synthetic 5G Data
5G attack dataset with fast gradient sign method
netlabufjf / nwdaf_ml
Forked from oliveiraleo/mnc_NWDAFML functionality based on NWDAF for the classification of 5G devices based on their traffic
Collection of publicly available IPTV channels from all over the world
Clustering & Time Series Forecasting of Milan's Telecommunication data
A Great Collection of Deep Learning (e)Books
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step