activity
20202022
most citedA Survey of Neural Trojan Attacks and Defenses in Deep Learning

14 citations · 17 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Evaluating BERT-based Pre-training Language Models for Detecting Misinformation

Rini Anggrainingsih, Ghulam Mubashar Hassan, Amitava Datta

It is challenging to control the quality of online information due to the lack of supervision over all the information posted online. Manual checking is almost impossible given the…

cs.CR202214 cited

A Survey of Neural Trojan Attacks and Defenses in Deep Learning

Jie Wang, Ghulam Mubashar Hassan, Naveed Akhtar

Artificial Intelligence (AI) relies heavily on deep learning - a technology that is becoming increasingly popular in real-life applications of AI, even in the safety-critical and h…

cs.LG20213 cited

BERT based classification system for detecting rumours on Twitter

Rini Anggrainingsih, Ghulam Mubashar Hassan, Amitava Datta

The role of social media in opinion formation has far-reaching implications in all spheres of society. Though social media provide platforms for expressing news and views, it is ha…

astro-ph.CO2021

Estimating galaxy masses from kinematics of globular cluster systems: a new method based on deep learning

Rajvir Kaur, Kenji Bekki, Ghulam Mubashar Hassan +1

We present a new method by which the total masses of galaxies including dark matter can be estimated from the kinematics of their globular cluster systems (GCSs). In the proposed m…

eess.SP2020

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi +1

Electroencephalography is frequently used for diagnostic evaluation of various brain-related disorders due to its excellent resolution, non-invasive nature and low cost. However, m…