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afternotes

Afternotes for the attended courses at Ca' Foscari University, master in Data Management and Analytics.

analisi-e-rappresentazione-dati

auxilearn

Implementation of Auxiliary Learning by Implicit Differentiation

backdoor_learning_curves

Source code implementation for paper: Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions

badnets-pytorch

Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

beta_poisoning

Official implementation of 'The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?' [Submitted to IJCNN 2021]

blackbox

A Python module for parallel optimization of expensive black-box functions

blackbox-attack

Blackbox attacks for deep neural network models

business-analytics

cinofix.github.io

Template for Academic Wep Page

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

graph-kernel-manifold-learning

Assignment for the course of Artificial Intelligence: Knowledge Representation and Planning

implicit-hyper-opt

latex-scientific-templates

Collection of latex templates used for my master's thesis, presentations and assignment reports.

limited-blackbox-attacks

Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)

mithridates

Measure and Boost Backdoor Robustness

opencv-blackjack-counter

An OpenCV application to assist users when playing the card game “BlackJack”.

opencv-car-speed

Analyze the performance of a target car by using opencv features.

poisoning-clustering

An adversarial black-box threat model for poisoning clustering algorithms.

pytorch-adversarial-examples-training-articles

PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.

pytorch-beginner

pytorch tutorial for beginners

secml

A Python library for Secure and Explainable Machine Learning

sigma-zero-adversarial-attack

spam-filter

Spam filtering using SVM and Naive Bayes classifiers

sponge_poisoning_energy_latency_attack

Source code for the Energy-Latency Attacks via Sponge Poisoning paper.

sudokusolver

Sudoku solver made with Contraints Propagation and Relaxation Labelling

tcp-protocols-simulator

The aim of the project is to study the performance of the following TCP procolli: AIMD, RENO, TAHOE.

virgilio

Your new Mentor for Data Science E-Learning.