Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to ...
Abstract: Reversible Adversarial Examples (RAE) are designed to protect the intellectual property of datasets. Such examples can function as imperceptible adversarial examples to erode the model ...
A complete deep learning-based action recognition system with ResNet101 encoder, LSTM decoder with spatial attention, FastAPI backend, and web-based frontend. The system recognizes 40 different human ...
Abstract: Hierarchical multi-label classification (HMC) involves assigning objects to multiple paths in a hierarchical label structure. This makes HMC a unique classification task. HMC approach can be ...
This is a production-ready package containing everything needed to deploy an advanced LSTM neural network for cybersecurity intrusion detection using the CICIDS2017 dataset. Input (1, 52) - 52 network ...