Pinned Repositories
30-Days-of-Code
Bertelsman
birthday-gift
CATS
Conditional Adversarial Trajectory Synthesis
Classifying_Data_Using_a_Support_Vector_Machine
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
Day2
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
EDEN
Location privacy protection mechanism (LPPM) based on a federated risk assessment.
Edge-DataSet
Dataset for IoT, Fog and Edge-based experiments
FreqDP
ICDE'22: Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories
aloisstar's Repositories
aloisstar/30-Days-of-Code
aloisstar/Bertelsman
aloisstar/birthday-gift
aloisstar/CATS
Conditional Adversarial Trajectory Synthesis
aloisstar/Classifying_Data_Using_a_Support_Vector_Machine
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
aloisstar/Day2
aloisstar/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
aloisstar/EDEN
Location privacy protection mechanism (LPPM) based on a federated risk assessment.
aloisstar/Edge-DataSet
Dataset for IoT, Fog and Edge-based experiments
aloisstar/FreqDP
ICDE'22: Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories
aloisstar/Geolife-Trajectories-1.3
This repo has the data pipeline codes for processing Microsoft geolife research for contact tracing testing
aloisstar/GeoMark
This is a re-imagining of the locally differentially private trajectory data perturbation framework utilizing the geo-indistinguishability differential privacy framework
aloisstar/geopointgan
aloisstar/his
aloisstar/Histogram
aloisstar/Location-Based-Privacy-Protection
aloisstar/location-privacy
aloisstar/LSTM-TrajGAN
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
aloisstar/Math-of-Machine-Learning-Course-by-Siraj
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
aloisstar/new
aloisstar/on-the-fly-histogram-privacy
Code for paper "On-the-fly Privacy for Location Histograms," G. Theodorakopoulos, E. Panaousis, K. Liang and G. Loukas, IEEE Transactions on Dependable and Secure Computing, 2020.
aloisstar/Regression
aloisstar/SALPPM
Semantics-aware Location Privacy Preserving: A Differential Privacy Approach
aloisstar/tensorflow