activity
20152025
most citedReconfigurable Edge Hardware for Intelligent IDS: Systematic Approach

8 citations · 21 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AR2025★ 2 cited

Nail: Not Another Fault-Injection Framework for Chisel-generated RTL

Robin Sehm, Christian Ewert, Rainer Buchty +2

Fault simulation and emulation are essential techniques for evaluating the dependability of integrated circuits, enabling early-stage vulnerability analysis and supporting the impl…

cs.AR2024★ 1 cited

Secure Software/Hardware Hybrid In-Field Testing for System-on-Chip

Saleh Mulhem, Christian Ewert, Andrija Neskovic +4

Modern Systems-on-Chip (SoCs) incorporate built-in self-test (BIST) modules deeply integrated into the device's intellectual property (IP) blocks. Such modules handle hardware faul…

cs.PF2024

It's all about PR -- Smart Benchmarking AI Accelerators using Performance Representatives

Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Jonathan Gietz +2

Statistical models are widely used to estimate the performance of commercial off-the-shelf (COTS) AI hardware accelerators. However, training of statistical performance models ofte…

cs.LG2024

On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System

Mohamed Roshdi, Julian Petzold, Mostafa Wahby +3

In Autonomous Driving (AD) transparency and safety are paramount, as mistakes are costly. However, neural networks used in AD systems are generally considered black boxes. As a cou…

cs.CR2024★ 8 cited

Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach

Wadid Foudhaili, Anouar Nechi, Celine Thermann +4

Intrusion detection systems (IDS) are crucial security measures nowadays to enforce network security. Their task is to detect anomalies in network communication and identify, if no…

cs.AR2023★ 6 cited

SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not?

Andrija Nešković, Saleh Mulhem, Alexander Treff +3

As training artificial intelligence (AI) models is a lengthy and hence costly process, leakage of such a model's internal parameters is highly undesirable. In the case of AI accele…

cs.NI2023

Practical Trustworthiness Model for DNN in Dedicated 6G Application

Anouar Nechi, Ahmed Mahmoudi, Christoph Herold +4

Artificial intelligence (AI) is considered an efficient response to several challenges facing 6G technology. However, AI still suffers from a huge trust issue due to its ambiguous…

cs.OH2015★ 4 cited

A Comparison of High-Level Design Tools for SoC-FPGA on Disparity Map Calculation Example

Shaodong Qin, Mladen Berekovic

Modern SoC-FPGA that consists of FPGA with embedded ARM cores is being popularized as an embedded vision system platform. However, the design approach of SoC-FPGA applications stil…