LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning

no code implementations • 3 May 2023 • Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana

We also show that LearnDefend is robust to size and noise in the marking of clean examples in the defense dataset.

Federated Learning Model Poisoning

Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation

no code implementations • 24 May 2021 • Kiran Purohit, Owais Iqbal, Ankan Mullick

The presented report evaluates Contextualizing Hate Speech Classifiers with Post-hoc Explanation paper within the scope of ML Reproducibility Challenge 2020.