Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning

no code implementations • 5 Apr 2024 • K Naveen Kumar, C Krishna Mohan, Aravind Machiry

Federated Learning (FL) is a collaborative learning paradigm enabling participants to collectively train a shared machine learning model while preserving the privacy of their sensitive data.

Data Poisoning Federated Learning

Detecting Deceptive Reviews using Generative Adversarial Networks

no code implementations • 25 May 2018 • Hojjat Aghakhani, Aravind Machiry, Shirin Nilizadeh, Christopher Kruegel, Giovanni Vigna

These results indicate that GANs can be effective for text classification tasks.

General Classification Reinforcement Learning (RL) +2