Evaluation of Data Poisoning Attack on Centralized and Federated Learning environments

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paperposter

Evaluation of Data Poisoning Attack on Centralized and Federated Learning environments

Poster presented at the Deep Learning Indaba 2023 by Safiia Mohammed

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Adversarial Robustness and Federated Learning Security: A Simulation-Based Analysis of Data Poisoning Defence Systems for Distributed AI in Sub-Saharan Africa

This study examines how data poisoning and model poisoning at

Data Summarization for Federated Learning

International audience We explore data summarization techniques as a mean to reduce t

Multi-scenario evaluation of federated learning for privacy-preserving malaria prediction with Ghana DHS data

Improving malaria prediction in Ghana requires data from across its health system, yet Ghana’s Data

IFedAvg: Interpretable Data-Interoperability for Federated Learning

Recently, the ever-growing demand for privacy-oriented machine learning has motivated researchers to

Trustworthy Federated Learning

Trustworthy Federated Learning

Poster presented at the Deep Learning Indaba 2023 by LOIC ELNATHAN TIOKOU FANGANG

Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data

We present a probabilistic framework for studying adversarial attacks on discrete data. Based on thi