Pinned Repositories
CODEPPIR
CODEPPIR: CO-utile and DEcentralized Privacy Protection in Information Retrieval
CRR-analysis
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata
DBALFA
Defending Against Backdoor Attacks by Layer-wise Feature Analysis
EDI-Anon
Explainability-Driven Incremental Image Anonymization
Explainable-Federated-Learning-via-Random-Forests
Using the random decision forests to explain the the predictions of the black-box in decentralized setting, and at the same time we used this explanations to detect the attacks on the training process.
FederatedLearningAttacksDetection
This repository contains PyTorch implementation of the paper Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases
FFL
Identity-Re-identification-in-Anonymized-Images-using-Few-shot-Learning
KeyNet
KeyNet: An Asymmetric Key-Style Framework forWatermarking Deep Learning Models
microaggregation-based_anonymization_tool
Microaggregation-based Anonymization Tool is a tool to protect datasets applying microaggregation algorithms in order to fulfill k-anonymity or k-anonymity and t-closeness.
CrisesUrv's Repositories
CrisesUrv/microaggregation-based_anonymization_tool
Microaggregation-based Anonymization Tool is a tool to protect datasets applying microaggregation algorithms in order to fulfill k-anonymity or k-anonymity and t-closeness.
CrisesUrv/CODEPPIR
CODEPPIR: CO-utile and DEcentralized Privacy Protection in Information Retrieval
CrisesUrv/CRR-analysis
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata
CrisesUrv/DBALFA
Defending Against Backdoor Attacks by Layer-wise Feature Analysis
CrisesUrv/EDI-Anon
Explainability-Driven Incremental Image Anonymization
CrisesUrv/Explainable-Federated-Learning-via-Random-Forests
Using the random decision forests to explain the the predictions of the black-box in decentralized setting, and at the same time we used this explanations to detect the attacks on the training process.
CrisesUrv/FederatedLearningAttacksDetection
This repository contains PyTorch implementation of the paper Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases
CrisesUrv/FFL
CrisesUrv/Identity-Re-identification-in-Anonymized-Images-using-Few-shot-Learning
CrisesUrv/KeyNet
KeyNet: An Asymmetric Key-Style Framework forWatermarking Deep Learning Models
CrisesUrv/LFighter
This repository contains PyTorch implementation of the paper ''LFighter: Defending against Label-flipping Attacks in Federated Learning''.
CrisesUrv/MTF_data_set
CrisesUrv/PETRE
This repository contains the code and data for the text anonymization enhancement method presented in B. Manzanares-Salor, D. Sánchez, Enhancing text anonymization via re-identification risk-based explainability, Submitted, (2023). In addition, some results obtained during testing are provided.
CrisesUrv/save_GTSRB_test_images
Saving German Traffic Sign Recognition Benchmark (GTSRB) test images to folders.
CrisesUrv/SoBigData_antidiscrimination
CrisesUrv/SoBigDataAnonymizationPypi
SoBigData anonymization pypi
CrisesUrv/SoBigDataAntidiscriminationPypi
CrisesUrv/SoBigDataTraining
CrisesUrv/SoBoBigData_libraries
CrisesUrv/text-anonymisation-benchmark
Annotated corpus + evaluation metrics for text anonymisation
CrisesUrv/TextRe-Identification
This repository contains the code and data for the text re-identification attack presented in B. Manzanares-Salor, D. Sánchez, P. Lison, Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack, Submitted, (2024)