Name: Javier Carnerero Cano
Type: User
Company: @IBMResearch
Bio: Research Scientist in Trustworthy AI @IBMResearch. PhD in AI Security @ImperialCollegeLondon. Telecom Engineer @uc3m. Adversarial ML, data poisoning.
Location: Dublin, Ireland
Blog: https://javiccano.github.io/
Javier Carnerero Cano's Projects
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Notebooks about Bayesian methods for machine learning
A complete computer science study plan to become a software engineer.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Recurrent Neural Networks (RNNs) and Graph Neural Networks (GNNs) exercises in PyTorch.
Application of the Extended Kalman Filter (EKF) in sensor networks, through its implementation in the problem of object tracking.
Implementation of a text-independent Speaker Identification (SI) system based on Gaussian Mixture Models (GMMs).
Prediction of the net hourly generated energy of a Combined Cycle Power Plant using Gaussian Process Regression (GPR).
Characterization and detection of hateful users on Twitter.
📝 My personal website. Powered by the Academic theme for Hugo.
Performance evaluation of different classification and dimensionality reduction strategies, and applications in the classification of the crop type of a set of pixels in a multiband spectral image.
Machine Learning notebooks for refreshing concepts.
Using deep learning technique to classify malware based on behaviors data
Malware Detection and Classification Using Machine Learning
Introductory Notebooks on Machine Learning topics.
PyTorch Tutorial for Deep Learning Researchers
A browser automation framework and ecosystem.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc.
Topic Modeling, Support Vector Machines (SVMs) and Latent Dirichlet Allocation (LDA) for Wikipedia Articles Classification.