activity
20132022
most citedBlock Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks

201 citations · 415 across the 10 of their papers we have counts for

collaborators

17 papers

cs.CR2022201 cited

Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks

Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi +3

Nowadays, blockchain-based technologies are being developed in various industries to improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-base…

cs.LG20222 cited

Fairness in Federated Learning for Spatial-Temporal Applications

Afra Mashhadi, Alex Kyllo, Reza M. Parizi

Federated learning involves training statistical models over remote devices such as mobile phones while keeping data localized. Training in heterogeneous and potentially massive ne…

cs.LG202152 cited

Communication Efficiency in Federated Learning: Achievements and Challenges

Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi +3

Federated Learning (FL) is known to perform Machine Learning tasks in a distributed manner. Over the years, this has become an emerging technology especially with various data prot…

cs.CR2020

A Survey of Machine Learning Techniques in Adversarial Image Forensics

Ehsan Nowroozi, Ali Dehghantanha, Reza M. Parizi +1

Image forensic plays a crucial role in both criminal investigations (e.g., dissemination of fake images to spread racial hate or false narratives about specific ethnicity groups) a…

cs.CY2020

Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance

Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh +6

COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and p…

cs.CV2020

A Federated Approach for Fine-Grained Classification of Fashion Apparel

Tejaswini Mallavarapu, Luke Cranfill, Junggab Son +3

As online retail services proliferate and are pervasive in modern lives, applications for classifying fashion apparel features from image data are becoming more indispensable. Onli…