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Wu, Han (author), Zhao, Z. (author), Chen, Lydia Y. (author), van Moorsel, Aad (author)
Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning method-ology, since it avoids exchanging data between participants, but instead exchanges model parameters. FL has traditionally been applied to image, voice and similar data, but recently it has started to draw attention from domains including...
conference paper 2022
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Wu, D. (author), Zhang, Yao (author), Ourak, Mouloud (author), Ha, Xuan Thao (author), Niu, Kenan (author), Dankelman, J. (author), Poorten, Emmanuel Vander (author)
Precise control of robotic catheters remains challenging in interventions. Inherent non-linearities such as hysteresis and external disturbances such as blood flow or contact with the vessel walls have a large impact on the reachable positioning precision. As inaccurate positioning of the catheter tip could lead to tissue damage, controllers...
conference paper 2022
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Rijsdijk, Jorai (author), Wu, L. (author), Perin, G. (author)
Deep learning-based side-channel attacks are capable of breaking targets protected with countermeasures. The constant progress in the last few years makes the attacks more powerful, requiring fewer traces to break a target. Unfortunately, to protect against such attacks, we still rely solely on methods developed to protect against generic...
conference paper 2022
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Kerkhof, Maikel (author), Wu, L. (author), Perin, G. (author), Picek, S. (author)
The deep learning-based side-channel analysis represents one of the most powerful side-channel attack approaches. Thanks to its capability in dealing with raw features and countermeasures, it becomes the de facto standard approach for the SCA community. The recent works significantly improved the deep learning-based attacks from various...
conference paper 2022
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Wu, L. (author), Perin, G. (author), Picek, S. (author)
Deep learning-based side-channel analysis is rapidly positioning itself as a de-facto standard for the most powerful profiling side-channel analysis.The results from the last few years show that deep learning techniques can efficiently break targets that are even protected with countermeasures. While there are constant improvements in making...
conference paper 2022
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Wu, Xintong (author), Huang, Haoliang (author), Liu, Hao (author), Hu, Jie (author), Wei, Jiangxiong (author), Yu, Qijun (author)
In this study, a new concept on self healing of cracks that the ingressive ions in the crack is chemically bound to improve the self-healing efficiency was proposed for cracked cementitious materials in a marine environment. Thermodynamic modeling was performed to determine the appropriate masses and ratio of Ca2+ and Al3+ provided by chemical...
conference paper 2021
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Wu, Jiandong (author), Guo, Liping (author)
Most of the waste glass, such as flat glass, glass bottle, is buried in the landfill, which is not desirable because it is not biodegradable and is not conducive to the long-term development of the environment. The glass powder (GP) with a certain fineness has excellent pozzolanic effect and can be used as a potential supplementary cementing...
conference paper 2021
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Van Den Berg, Sander C. (author), Scharff, R.B.N. (author), Rusak, Z. (author), Wu, J. (author)
We present a novel DC motor driven soft robotic fish which is optimized for speed and efficiency based on experimental, numerical and theoretical investigation into oscillating propulsion. Our system achieves speeds up to 0.85 m/s, outperforming the previously reported fastest free swimming soft robotic fish by a significant margin of 27%. A...
conference paper 2021
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Wu, L. (author), Rao, Siddharth (author), Taouil, M. (author), Marinissen, Erik Jan (author), Kar, Gouri Sankar (author), Hamdioui, S. (author)
Understanding the manufacturing defects in magnetic tunnel junctions (MTJs), which are the data-storing elements in STT-MRAMs, and their resultant faulty behaviors are crucial for developing high-quality test solutions. This paper introduces a new type of MTJ defect: synthetic anti-ferromagnet flip (SAFF) defect, wherein the magnetization in...
conference paper 2021
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Wu, L. (author), Rao, Siddharth (author), Taouil, M. (author), Marinissen, Erik Jan (author), Kar, Gouri Sankar (author), Hamdioui, S. (author)
Understanding the defects in magnetic tunnel junctions (MTJs) and their faulty behaviors are paramount for developing high-quality tests for STT-MRAM. This paper characterizes and models intermediate (IM) state defects in MTJs; IM state manifests itself as an abnormal third resistive state, apart from the two bi-stable states of MTJ. We...
conference paper 2021
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Wu, Y. (author), Shekhar, A. (author), Soeiro, Thiago B. (author), Bauer, P. (author)
The grid reinforcement and energy redirection needs have led to the emergence of Back-To-Back Voltage Source Converter (BTB-VSC) based dc power routers. This paper investigates the low frequency Common Mode Currents (CMCs) that arise in the system if the employed BTB-VSCs have an un-isolated ac path connected in parallel to their output ports....
conference paper 2021
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Wu, Y. (author), Soeiro, Thiago B. (author), Shekhar, A. (author), Xu, J. (author), Bauer, P. (author)
LCL filter is widely adopted for strict standard compliance of grid-tied voltage source converters (VSCs). The third order low-pass filtering provides great attenuation for the high frequency harmonics generated by the power electronics guaranteeing low output currents noise injection into the grid. A major concern of the implementation of the...
conference paper 2021
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Wu, L. (author), Perin, G. (author)
In recent years, the advent of deep neural networks opened new perspectives for security evaluations with side-channel analysis. Profiling attacks now benefit from capabilities offered by convolutional neural networks, such as dimensionality reduction and the inherent ability to reduce the trace desynchronization effects. These neural...
conference paper 2021
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Wu, Yuhao (author), de Vries, H.J. (author)
conference paper 2020
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Wu, L. (author), Ribera, Gerard (author), Beringuier-Boher, Noemie (author), Picek, S. (author)
Semi-invasive fault injection attacks are powerful techniques well-known by attackers and secure embedded system designers. When performing such attacks, the selection of the fault injection parameters is of utmost importance and usually based on the experience of the attacker. Surprisingly, there exists no formal and general approach to...
conference paper 2020
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Wu, L. (author), Fieback, M. (author), Taouil, M. (author), Hamdioui, S. (author)
This paper introduces a new test approach: device-aware test (DAT) for emerging memory technologies such as MRAM, RRAM, and PCM. The DAT approach enables accurate models of device defects to obtain realistic fault models, which are used to develop high-quality and optimized test solutions. This is demonstrated by an application of DAT to pinhole...
conference paper 2020
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Shen, Qiaomu (author), Wu, Yanhong (author), Jiang, Yuzhe (author), Zeng, Wei (author), Lau, Alexis K.H. (author), Vilanova Bartroli, A. (author), Qu, Huamin (author)
Recent attempts at utilizing visual analytics to interpret Recurrent Neural Networks (RNNs) mainly focus on natural language processing (NLP) tasks that take symbolic sequences as input. However, many real-world problems like environment pollution forecasting apply RNNs on sequences of multi-dimensional data where each dimension represents an...
conference paper 2020
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Cardoso Medeiros, G. (author), Cem Gursoy, Cemil (author), Wu, L. (author), Fieback, M. (author), Jenihhin, Maksim (author), Taouil, M. (author), Hamdioui, S. (author)
Manufacturing defects can cause faults in FinFET SRAMs. Of them, easy-to-detect (ETD) faults always cause incorrect behavior, and therefore are easily detected by applying sequences of write and read operations. However, hard-to-detect (HTD) faults may not cause incorrect behavior, only parametric deviations. Detection of these faults is of...
conference paper 2020
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Wu, L. (author), Rao, Siddharth (author), Taouil, M. (author), Marinissen, Erik Jan (author), Kar, Gouri Sankar (author), Hamdioui, S. (author)
As a unique mechanism for MRAMs, magnetic coupling needs to be accounted for when designing memory arrays. This paper models both intra- and inter-cell magnetic coupling analytically for STT-MRAMs and investigates their impact on the write performance and retention of MTJ devices, which are the data-storing elements of STT-MRAMs. We present...
conference paper 2020
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Fieback, M. (author), Wu, L. (author), Cardoso Medeiros, G. (author), Aziza, Hassen (author), Rao, S (author), Marinissen, Erik Jan (author), Taouil, M. (author), Hamdioui, S. (author)
This paper proposes a new test approach that goes beyond cell-aware test, i.e., device-aware test. The approach consists of three steps: defect modeling, fault modeling, and test/DfT development. The defect modeling does not assume that a defect in a device (or a cell) can be modeled electrically as a linear resistor (as the traditional approach...
conference paper 2019
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