activity
20182020
most citedPoTrojan: powerful neural-level trojan designs in deep learning models

50 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

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.CV2019★ 8 cited

Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping

Adam W. Harley, Shrinidhi K. Lakshmikanth, Fangyu Li +3

Predictive coding theories suggest that the brain learns by predicting observations at various levels of abstraction. One of the most basic prediction tasks is view prediction: how…

eess.SP2018★ 1 cited

Toward Creating Subsurface Camera

WenZhan Song, Fangyu Li, Maria Valero +1

In this article, the framework and architecture of Subsurface Camera (SAMERA) is envisioned and described for the first time. A SAMERA is a geophysical sensor network that senses a…

cs.NI2018★ 3 cited

Network Phenotyping for Network Traffic Classification and Anomaly Detection

Minhui Zou, Chengliang Wang, Fangyu Li +1

This paper proposes to develop a network phenotyping mechanism based on network resource usage analysis and identify abnormal network traffic. The network phenotyping may use diffe…

cs.CR2018★ 50 cited

PoTrojan: powerful neural-level trojan designs in deep learning models

Minhui Zou, Yang Shi, Chengliang Wang +3

With the popularity of deep learning (DL), artificial intelligence (AI) has been applied in many areas of human life. Neural network or artificial neural network (NN), the main tec…