research
∙
04/13/2023
EF/CF: High Performance Smart Contract Fuzzing for Exploit Generation
Smart contracts are increasingly being used to manage large numbers of h...
share
research
∙
01/11/2023
Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk sampling
Word embedding has become ubiquitous and is widely used in various text ...
research
∙
08/31/2022
Ranking-Based Physics-Informed Line Failure Detection in Power Grids
Climate change increases the number of extreme weather events (wind and ...
research
∙
08/17/2022
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data
In this work, a parameter-efficient attention module is presented for em...
research
∙
07/05/2021
Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems
The rapid growth of distributed energy resources potentially increases p...
research
∙
06/14/2021
Machine Learning for Variance Reduction in Online Experiments
We consider the problem of variance reduction in randomized controlled t...
research
∙
10/01/2020
EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts
Recent attacks exploiting errors in smart contract code had devastating ...
research
∙
12/14/2018
Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks
Recently, a number of existing blockchain systems have witnessed major b...
research
∙
10/11/2018
Real-time Fault Localization in Power Grids With Convolutional Neural Networks
Diverse fault types, fast re-closures and complicated transient states a...
research
∙
09/13/2018
