Robust backdoor attack against federated learning

Current backdoor attacks against federated learning (FL) strongly rely on universal triggers or semantic patterns, which can be easily detected and filtered by certain defense mechanisms such as norm clipping, comparing parameter divergences among local updates. In this work, we propose a new stealthy and robust backdoor attack with flexible...

Single-Photon Avalanche Diodes (SPAD) for Quantum Sensors: Validation and characterisation of 40nm SPAD

Quantum sensing technology has emerged as a promising field with superior sensitivity and accuracy in magnetic field sensing compared to conventional technologies. This breakthrough offers significant prospects in the biomedical sector, particularly in the realm of medical imaging. <br/><br/>This project focuses on the implementation of quantum...

Loudspeaker Filter Design with AI: Communication, Evaluation and User Interaction

This thesis describes the design and implementation of a controller and GUI for an AI loudspeaker filter design program. This program uses a genetic algorithm to create a combination of analog passive filters, one for each driver in a loudspeaker system. In the controller, two cost functions are designed to evaluate these filter combinations,...

Subsea Communication System using Quasi-Static Electric Fields: Hardware Design

As electromagnetic waves cannot propagate sufficiently far in water, underwater communication is mainly performed using either acoustics or optics. However, none of these technologies have been proven to be completely effective in every situation. Therefore, research in new underwater communication systems can still bring large benefits to a...

Digital processing for large pixel array dToF systems

Over the last decade, the recognition of the potential value of augmented reality (AR) and other human-machine interfaces has been growing. These applications are all based on depth sensing technologies. Among various depth sensing technologies, the Time-of-Flight (ToF) approach is emerging as a widely applicable method because it has the...

A Low-speed, Low-acceleration Controller for Cost-effective Reaction-wheels: Design, Simulation & Implementation

With the requirements for CubeSats increasing, a push towards utilizing high­performance equipment has never been greater. Incorporating these equipment in an environment that is cost­, space­ and power­constrained, is challenging. Simultaneously, high­performance equipment require high pointing­accuracy and low­jitter. This thesis proposes the...

Exploring Computer Vision for Human Awareness in Human-Cobot Interactions

Designing the future of work is a goal that is currently being tackled by both industry and academia. In a scenario where we have Human-Robot hybrid teams, it will be necessary for both human and robots to be aware of each other in their respective tasks. This thesis explores how specific robots (cobots - collaborative robots) can use Computer...

Efficient implementation of an audio preprocessing algorithm for SNN keyword spotting

Mobile devices are getting increasingly powerful, becoming compatible<br/>for an ever increasing set of functionality. Applications based around<br/>neural networks however still have to offload parts of their computations<br/>to the cloud since current Artificial Neural Networks (ANNs) are<br/>still too computationally expensive for any...

Detection System and Enclosure Design: for Quantum Random Number Generation

This report focuses on the design and implementation of both a detection system and an enclosure, which are designed to be used in a quantum random number generator. These parts are designed to be manufactured using off-the-shelf components to make the quantum random number generator affordable and accessible to a completely new user-group that...

Complement-based Stochastic Computing Multiplier Design for Convolutional Neural Network Acceleration

Recently, it has become popular to use Convolutional Neural Networks (CNNs) in embedded and portable devices. The popularity is based on their high accuracy rate in the field of Computer Vision (CV). However, CNNs are computationally intensive due to the convolutional layer, which accounts for over 90% of the operations. To overcome this problem...

Prototyping an efficient and cost-effective method to detect and mitigate random faults in COTS processors

Space has always been fascinating to humans, since the dawn of civilization. From the first astronomers and philosophers of ancient times, who looked at the night sky searching for answers, to the scientists and engineers of modern missions, commanding space probes to the edge of the solar system, space has always been at the epicenter of...

An Elliptic Curve Cryptography Acceleration Core for OpenVPN on an FPGA Softcore

Elliptic Curve Cryptography (ECC) performance is a major performance bottleneck when serving many VPN clients from a single server on a low-frequency FPGA softcore CPU. Using an area-efficient Elliptic Curve Point (ECP) multiplication accelerator core on the same FGPA, a much higher amount of clients can be served using the same FPGA chip. Using...

Command Recognition on Intermittently-Powered Devices

The Internet of Things (IoT) is expected to include billions of tiny devices that collect, process, and communicate sensory data. As of now, batteries power these devices. Batteries, however, are large, expensive, and short-lived - even the rechargeable ones wear out in a few years. Therefore, they are not a sustainable powering solution. Tiny...

Control of a 3-phase motor drive employing a slim DC-link

A variable speed AC motor drive, fed by a 3-phase AC supply, often consists of a 3-phase bridge diode rectifier, a DC link capacitor and a pulse width modulated inverter. Recently, a new type of capacitor known as film capacitor or slim capacitor has become popular for use in DC link. This capacitor has a lower value of capacitance and a longer...

Wired sensor network for measuring fat deposition in extraction channels: A Power Supply and Communication Module

The goal of this project is to identify the most promising measurement method and strategy for measuring the thickness of grease and to design a sensor module with electronic read-out and communication module. This project has been split into two parts: a sensor implementation and a communication system. This report describes the design and...