OASIS: Offsetting Active Reconstruction Attacks in Federated Learning

no code implementations • 23 Nov 2023 • Tre' R. Jeter, Truc Nguyen, Raed Alharbi, My T. Thai

We first uncover the core principle of gradient inversion that enables these attacks and theoretically identify the main conditions by which the defense can be robust regardless of the attack strategies.

Federated Learning Image Augmentation

Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy

1 code implementation • 14 Apr 2023 • Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai

Our findings show that Hispanic and African American are most likely impacted by cultural characteristics such as religions and ethnic affiliation, whereas the vaccine trust and approval influence the Asian communities the most.

Cultural Vocal Bursts Intensity Prediction

Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets

1 code implementation • 1 Aug 2022 • Yousef Altaher, Ali Fadel, Mazen Alotaibi, Mazen Alyazidi, Mishari Al-Mutairi, Mutlaq Aldhbuiub, Abdulrahman Mosaibah, Abdelrahman Rezk, Abdulrazzaq Alhendi, Mazen Abo Shal, Emad A. Alghamdi, Maged S. Alshaibani, Jezia Zakraoui, Wafaa Mohammed, Kamel Gaanoun, Khalid N. Elmadani, Mustafa Ghaleb, Nouamane Tazi, Raed Alharbi, Maraim Masoud, Zaid Alyafeai

Masader Plus can be explored using this link https://arbml. github. io/masader.

Learning Interpretation with Explainable Knowledge Distillation

no code implementations • 12 Nov 2021 • Raed Alharbi, Minh N. Vu, My T. Thai

Knowledge Distillation (KD) has been considered as a key solution in model compression and acceleration in recent years.

Knowledge Distillation Model Compression