Towards Trustworthy Neuromorphic Computing: An Analysis of Hardware Security and Reliability Risks
暫譯: 邁向可信的神經形態計算：硬體安全性與可靠性風險分析
Staudigl, Felix, Leupers, Rainer
相關主題
商品描述
This book explores the reliability and security challenges of Computing-in-Memory (CIM), a promising approach to overcoming the limitations of traditional computing. It examines the weaknesses of memristive devices, which are key to this technology, and presents practical methods to improve their stability and security. Key topics include a fault injection platform for testing reliability, the NeuroHammer attack, which exposes security risks, and the NeuroBreakoutBoard, a hardware tool for evaluating real devices. By bridging theory and practice, this book is essential for researchers, engineers, and industry professionals working on next-generation computing systems.
商品描述(中文翻譯)
本書探討了記憶計算（Computing-in-Memory, CIM）的可靠性和安全性挑戰，這是一種有前景的方法，用以克服傳統計算的限制。它檢視了記憶電阻裝置（memristive devices）的弱點，這些裝置是此技術的關鍵，並提出了改善其穩定性和安全性的實用方法。主要主題包括用於測試可靠性的故障注入平台、揭示安全風險的NeuroHammer攻擊，以及用於評估實際裝置的硬體工具NeuroBreakoutBoard。通過理論與實踐的結合，本書對於從事下一代計算系統研究的研究人員、工程師和業界專業人士來說是必不可少的。
作者簡介
Felix Staudigl received his B.Eng. degree in electrical engineering from TH Nuremberg in 2012. He completed a double master's degree as part of the TIME program, earning M.Sc. degrees from RWTH Aachen University and Czech Technical University (CTU) Prague in 2019. In 2020, he began his Ph.D. at RWTH Aachen University, where he worked as a research assistant and graduated summa cum laude in February 2025. His research focuses on hardware security and neuromorphic computing, particularly the reliability and security of memristor-based Computing-in-Memory (CIM) architectures. He contributed to the research project NEUROTEC II, which develops neuromorphic hardware and software beyond the von Neumann paradigm, and the European Digital Innovation Hub (EDIH) Rheinland, which supports SMEs in adopting AI and digital solutions.
Rainer Leupers received the M.Sc. (Dipl.-Inform.) and Ph.D. (Dr. rer. nat.) degrees in Computer Science with honors from TU Dortmund in 1992 and 1997. From 1997-2001 he was the Chief Engineer at the Embedded Systems Chair at TU Dortmund. In 2002, he joined RWTH Aachen University as a professor for Software for Systems on Silicon. His research comprises embedded software development tools, system-on-chip architectures, hardware security, and electronic design automation. He served in committees of the leading international EDA conferences and received various scientific awards, including Best Paper Awards at DAC and twice at DATE, as well as several industrial awards. Dr. Leupers is also engaged as an entrepreneur and in turning research results into innovations. He co-founded LISATek (now with Synopsys), Silexica (acquired by Xilinx/AMD), Hensoldt Cyber (via Secure Elements), MachineWare, and RooflineAI. As the coordinator of the TETRACOM and TETRAMAX EU projects, he created a structured approach to academia-to-industry technology transfer with 100+ successful instances across Europe.
作者簡介(中文翻譯)
Felix Staudigl於2012年在德國紐倫堡科技大學（TH Nuremberg）獲得電機工程學士學位。他在2019年完成了TIME計畫的雙碩士學位，分別獲得亞琛工業大學（RWTH Aachen University）和捷克技術大學（Czech Technical University, CTU）布拉格的碩士學位。2020年，他在亞琛工業大學開始攻讀博士學位，並擔任研究助理，於2025年2月以優異的成績畢業。他的研究專注於硬體安全和類神經計算，特別是基於記憶電阻器的記憶計算（Computing-in-Memory, CIM）架構的可靠性和安全性。他參與了NEUROTEC II研究計畫，該計畫開發超越馮·諾依曼範式的類神經硬體和軟體，以及歐洲數位創新中心（European Digital Innovation Hub, EDIH）萊茵蘭，該中心支持中小企業採用人工智慧和數位解決方案。
Rainer Leupers於1992年和1997年在多特蒙德工業大學（TU Dortmund）獲得計算機科學的碩士（Dipl.-Inform.）和博士（Dr. rer. nat.）學位，並且均以優異成績畢業。1997年至2001年，他擔任多特蒙德工業大學嵌入式系統講座的首席工程師。2002年，他加入亞琛工業大學，擔任矽基系統軟體教授。他的研究範疇包括嵌入式軟體開發工具、系統單晶片架構、硬體安全和電子設計自動化。他曾在多個國際電子設計自動化（EDA）會議的委員會中任職，並獲得多項科學獎項，包括DAC最佳論文獎和兩次DATE最佳論文獎，以及幾個工業獎項。Leupers博士同時也作為企業家，致力於將研究成果轉化為創新。他共同創立了LISATek（現為Synopsys的一部分）、Silexica（被Xilinx/AMD收購）、Hensoldt Cyber（透過安全元件）、MachineWare和RooflineAI。作為TETRACOM和TETRAMAX歐盟專案的協調人，他創建了一個結構化的學術與產業技術轉移方法，在歐洲成功實施了100多個案例。
