research
∙
07/17/2023
TorMult: Introducing a Novel Tor Bandwidth Inflation Attack
The Tor network is the most prominent system for providing anonymous com...
share
research
∙
07/17/2023
G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts
Due to the immutable and decentralized nature of Ethereum (ETH) platform...
research
∙
07/17/2023
Metadata-based Malware Detection on Android using Machine Learning
In the digitized world, smartphones and their apps play an important rol...
research
∙
06/06/2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations
Federated Learning (FL) trains machine learning models on data distribut...
research
∙
02/06/2023
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms
Mobile applications are widely used for online services sharing a large ...
research
∙
10/14/2022
Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis
Federated Learning (FL) is a scheme for collaboratively training Deep Ne...
research
∙
02/14/2022
Digital Contact Tracing Solutions: Promises, Pitfalls and Challenges
The COVID-19 pandemic has caused many countries to deploy novel digital ...
research
∙
03/23/2021
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
Ethereum smart contracts are automated decentralized applications on the...
research
∙
06/10/2020
Mind the GAP: Security Privacy Risks of Contact Tracing Apps
Contact tracing apps running on mobile devices promise to reduce the man...
research
∙
07/15/2019
