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Khattat, Mostafa (author)
Threshold signatures play a crucial role in the security of blockchain applications. An efficient threshold signature can be applied to enhance the security of wallets and transactions by enforcing multi-device-based authentication, as this requires adversaries to compromise more devices to recover the key. Additionally, threshold signatures can...
master thesis 2024
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Chen, Ivo (author)
Large language models (LMs) are increasingly used in critical tasks, making it important that these models can be trusted. The confidence an LM assigns to its prediction is often used to indicate how much trust can be placed in that prediction. However, a high confidence can be incorrectly trusted if it turns out to be incorrect, also known as a...
master thesis 2024
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Kulshrestha, Shubhra (author)
This thesis titled ´Study of 5G Roaming Security´ investigates the potential network vulnerabilities of 5G roaming reference points. The 5G Non-Standalone (NSA) is already being deployed in different countries across the world. With 3G becoming obsolete, mobile communication will primarily depend on 4G and 5G-NSA. In the later stages of the 5G...
master thesis 2023
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Liu, Kevin (author)
This master’s thesis explores the application of Self-Supervised Contrastive Learning (SSCL), specifically the SimCLR algorithm, to enhance feature representation learning from Wafer Bin Maps (WBM) in the semiconductor manufacturing process. The motivation stems from the industry’s growing need for automated defect detection and root-cause...
master thesis 2023
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Karnani, Simran (author)
In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...
master thesis 2023
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Juneja, Suchdeep Singh (author)
In the ever-evolving field of music technology, new solutions continue to emerge that enhance musical expression and creativity. This thesis introduces WaveTune, a novel lightweight hand gesture recognition system that enables real-time control of musical composition and performance through natural hand motions.<br/><br/>WaveTune utilizes...
master thesis 2023
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Tao, Jack (author)
With the development of 5G/6G communication technology, an increasing number of communication protocols for data transmission are created and implemented. At the same time, the redundancy of packet headers has become a matter to be optimized when transferring packets across different protocol layers, which causes high resource occupancy, low...
master thesis 2023
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Kazemi Koohbanani, Paolo Arash (author)
Distributed Denial of Service (DDoS) leverages the power of multiple servers to disrupt the operations of a victim service. Due to the financial risks posed by downtimes on critical online infrastructure, DDoS is among the top threats in the cybersecurity landscape.<br/><br/>In this paper, we analyze the characteristics of previously launched...
master thesis 2023
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Lut, Jasper-Jan (author)
Drones that perform complex autonomous movements require a perfect estimate of their current position. However, internal measurement unit (IMU) errors introduce drift in this estimate, leading to significant discrepancies between the predicted and actual location. Various solutions have been proposed to calibrate the IMU, including methods...
master thesis 2023
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Trinh, Eames (author)
Federated learning enables training machine learning models on decentralized data sources without centrally aggregating sensitive information. Continual learning, on the other hand, focuses on learning and adapting to new tasks over time while avoiding the catastrophic forgetting of knowledge from previously encountered tasks. Federated...
bachelor thesis 2023
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Parankusam, Taneshwar Pranav (author)
Federated Continual Learning (FCL) is a emerging field with strong roots in Image classification. However, limited research has been done on its potential in Natural Language Processing and Tabular datasets. With recent developments in A.I. with language models and the widespread use of mobile devices, it becomes relevant to consider FCL’s...
bachelor thesis 2023
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HADJIGEORGIOU, MARIOS (author)
Federated Learning (FL) is widely favoured in the training of machine learning models due to its privacy-preserving and data diversity benefits. In this research paper, we investigate an extension of FL referred to as Personalized Federated Learning (PFL) for the purpose of training diffusion models. We explore the personalization technique of...
bachelor thesis 2023
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de Goede, Matthijs (author)
The training of diffusion-based models for image generation is predominantly controlled by a select few Big Tech companies, raising concerns about privacy, copyright, and data authority due to the lack of transparency regarding training data. Hence, we propose a federated diffusion model scheme that enables the independent and collaborative...
bachelor thesis 2023
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Massar, Marnix (author)
agda2hs is a tool which translates a subset of Agda to readable Haskell. Using agda2hs, programmers can implement libraries in this subset of Agda, formally verify them, and then convert them to Haskell. In this paper we present a new, verified implementation of the lens data type, which is used to access data structures in a readable yet...
bachelor thesis 2022
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Schrijver, Remco (author)
Agda allows for writing code that can be mathematically proven and verified to be correct, this type of languages is generally known as a proof assistant. The agda2hs library makes an effort to translate Agda to readable Haskell, in a way the Haskell is still consistent. In previous work it is shown that with the current agda2hs implementation,...
bachelor thesis 2022
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Schifferstein, Michelle (author)
The formal verification of concurrent programs is of particular importance, because concurrent programs are notoriously difficult to test. Because Haskell is a purely functional language, it is relatively easy to reason about the correctness of such programs and write down manual proofs. However, since these methods are still prone to error,...
bachelor thesis 2022
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Akadiri, Femi (author)
Public technology has been shown to have a strong dependence on physical touch, which increases the transmission of diseases. Gesture recognition helps to reduce this transmission, as the dependence on physical touch is removed. Furthermore, the use of visible light for gesture recognition would reduce the power consumption of public technology,...
bachelor thesis 2022
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Somai, Ashay (author)
This thesis looks at how to characterize weaknesses in machine learning models that are used for detecting privacy-sensitive data in images with the help of crowdsourcing. Before we can come up with a method to achieve a goal, we first need to make clear what we consider privacy-sensitive data. We took the General Data Protection Regulation ...
master thesis 2021
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Boot, Bas (author)
For this thesis we have compared communication times of different control schemes on a wireless control network for a water irrigation system. Therefore a control application which can run different protocols was created. We have shown that a significant reduction of communication time can be achieved by using event-triggered control (ETC), and...
master thesis 2021
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Jiang, Jinghui (author)
Multi-access Edge Computing (MEC) is a concept brought up by ETSI and it places computing, storage, processing and network resources into MEC hosts and places these MEC hosts as close as needed to the telecom network edge in order to reduce service latency and bandwidth usage. For self-driving vehicles, streaming video and real-time gaming, the...
master thesis 2020
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