In our model, two pretext tasks designed from spatial and temporal perspectives help us effectively learn useful node embedding from the huge amount of unlabelled transaction data.
In a backdoor attack on a machine learning model, an adversary produces a model that performs well on normal inputs but outputs targeted misclassifications on inputs containing a small trigger pattern.
ARM TrustZone is the de-facto hardware TEE implementation on mobile devices like smartphones.
Cryptography and Security
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks.
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated attacks.
In particular, we investigated our model for solving two problems, neural semantic parsing and math word problem.