16 citations · 29 across the 8 of their papers we have counts for
8 papers
Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda
Minxian Xu, Jingfeng Wu, Shengye Song +16
The rapid rise of Large Language Models (LLMs) has revolutionized various artificial intelligence (AI) applications, from natural language processing to code generation. However, t…
EVECTOR: An orchestrator for analysing attacks in electric vehicles charging system
Devki Nandan Jha, Tomasz Szydlo, Nima Valizadeh +9
Electric Vehicle (EV) charging infrastructure is critical for the widespread adoption of EVs, ensuring efficient and secure charging processes. Evaluating the security and performa…
TinyAC: Bringing Autonomic Computing Principles to Resource-Constrained Systems
Wojciech Kalka, Ruitao Xue, Kamil Faber +4
Autonomic Computing (AC) is a promising approach for developing intelligent and adaptive self-management systems at the deep network edge. In this paper, we present the problems an…
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems
Tomasz Szydlo, Viacheslav Horbanov, Devki Nandan Jha +3
Edge computing has emerged as a pivotal technology, offering significant advantages such as low latency, enhanced data security, and reduced reliance on centralized cloud infrastru…
Security by Design Issues in Autonomous Vehicles
Martin Higgins, Devki Jha, David Blundell +1
As autonomous vehicle (AV) technology advances towards maturity, it becomes imperative to examine the security vulnerabilities within these cyber-physical systems. While convention…
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles
Martin Higgins, Devki Jha, David Wallom
Time-of-flight (ToF) distance measurement devices such as ultrasonics, LiDAR and radar are widely used in autonomous vehicles for environmental perception, navigation and assisted…