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Electromagnetic fault injection (EMFI) is a well known technique used to disturb the behaviour of a chip for weakening its security. These attacks are mostly done on simple microcontrollers. On these targets, the fault effects are…

Cryptography and Security · Computer Science 2019-10-28 Thomas Trouchkine , Sébanjila Kevin Bukasa , Mathieu Escouteloup , Ronan Lashermes , Guillaume Bouffard

Injection of transient faults as a way to attack cryptographic implementations has been largely studied in the last decade. Several attacks that use electromagnetic fault injection against hardware or software architectures have already…

Cryptography and Security · Computer Science 2014-02-27 Nicolas Moro , Amine Dehbaoui , Karine Heydemann , Bruno Robisson , Emmanuelle Encrenaz

EMFI has become a popular fault injection (FI) technique due to its ability to inject faults precisely considering timing and location. Recently, ARM, RISC-V, and even x86 processing units in different packages were shown to be vulnerable…

Cryptography and Security · Computer Science 2022-09-21 Niclas Kühnapfel , Robert Buhren , Hans Niklas Jacob , Thilo Krachenfels , Christian Werling , Jean-Pierre Seifert

Hardware and software of secured embedded systems are prone to physical attacks. In particular, fault injection attacks revealed vulnerabilities on the data and the control flow allowing an attacker to break cryptographic or secured…

Cryptography and Security · Computer Science 2015-10-07 Lionel Rivière , Zakaria Najm , Pablo Rauzy , Jean-Luc Danger , Julien Bringer , Laurent Sauvage

With the large-scale integration and use of neural network models, especially in critical embedded systems, their security assessment to guarantee their reliability is becoming an urgent need. More particularly, models deployed in embedded…

Cryptography and Security · Computer Science 2023-09-01 Clement Gaine , Pierre-Alain Moellic , Olivier Potin , Jean-Max Dutertre

Trusted Execution Environments (TEEs) are critical components of modern secure computing, providing isolated zones in processors to safeguard sensitive data and execute secure operations. Despite their importance, TEEs are increasingly…

Cryptography and Security · Computer Science 2024-11-25 Aaron Joy , Ben Soh , Zhi Zhang , Sri Parameswaran , Darshana Jayasinghe

In contemporary times, the increasing complexity of the system poses significant challenges to the reliability, trustworthiness, and security of the SACRES. Key issues include the susceptibility to phenomena such as instantaneous voltage…

Hardware Architecture · Computer Science 2024-12-23 Enrico Magliano , Alessio Carpegna , Alessadro Savino , Stefano Di Carlo

Emerging deep learning workloads urgently need fast general matrix multiplication (GEMM). To meet such demand, one of the critical features of machine-learning-specific accelerators such as NVIDIA Tensor Cores, AMD Matrix Cores, and Google…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-13 Bo Fang , Xinyi Li , Harvey Dam , Cheng Tan , Siva Kumar Sastry Hari , Timothy Tsai , Ignacio Laguna , Dingwen Tao , Ganesh Gopalakrishnan , Prashant Nair , Kevin Barker , Ang Li

Safety-critical designs need to ensure reliable operations under hostile conditions with a certain degree of confidence. The continuously higher complexity of these designs makes them more susceptible to the risk of failure. ISO26262…

Software Engineering · Computer Science 2022-04-29 Endri Kaja , Nicolas Gerlin , Luis Rivas , Monideep Bora , Keerthikumara Devarajegowda , Wolfgang Ecker

Injection of transient faults can be used as a way to attack embedded systems. On embedded processors such as microcontrollers, several studies showed that such a transient fault injection with glitches or electromagnetic pulses could…

Cryptography and Security · Computer Science 2014-07-24 Nicolas Moro , Karine Heydemann , Amine Dehbaoui , Bruno Robisson , Emmanuelle Encrenaz

Fault injection attacks on embedded neural network models have been shown as a potent threat. Numerous works studied resilience of models from various points of view. As of now, there is no comprehensive study that would evaluate the…

Cryptography and Security · Computer Science 2026-04-14 Jakub Breier , Štefan Kučerák , Xiaolu Hou

Upcoming certification actions related to the security of machine learning (ML) based systems raise major evaluation challenges that are amplified by the large-scale deployment of models in many hardware platforms. Until recently, most of…

Cryptography and Security · Computer Science 2023-09-15 Mathieu Dumont , Kevin Hector , Pierre-Alain Moellic , Jean-Max Dutertre , Simon Pontié

As the capacity of power systems grows, the need for quick and precise short-circuit fault location becomes increasingly vital for ensuring the safe and continuous supply of power. In this paper, we propose a fault location method that…

Signal Processing · Electrical Eng. & Systems 2024-01-02 Guanbo Wang , Chijie Zhuang , Jun Deng , Zhicheng Xie

Today, Deep Learning (DL) enhances almost every industrial sector, including safety-critical areas. The next generation of safety standards will define appropriate verification techniques for DL-based applications and propose adequate fault…

Machine Learning · Computer Science 2020-12-15 Michael Beyer , Andrey Morozov , Emil Valiev , Christoph Schorn , Lydia Gauerhof , Kai Ding , Klaus Janschek

Modern advanced driver assistance systems (ADAS) rely on deep neural networks (DNNs) for perception and planning. Since DNNs' parameters reside in DRAM during inference, bit flips caused by cosmic radiation or low-voltage operation may…

Cryptography and Security · Computer Science 2026-04-22 Taibiao Zhao , Xiang Zhang , Mingxuan Sun , Ruyi Ding , Xugui Zhou

As machine learning (ML) has seen increasing adoption in safety-critical domains (e.g., autonomous vehicles), the reliability of ML systems has also grown in importance. While prior studies have proposed techniques to enable efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-07 Zitao Chen , Niranjhana Narayanan , Bo Fang , Guanpeng Li , Karthik Pattabiraman , Nathan DeBardeleben

Electromagnetic (EM) sensing is a wide-spread contactless examination technique in science, engineering and military. However, conventional sensing systems are mostly lack of intelligence, which not only require expensive hardware and…

Signal Processing · Electrical Eng. & Systems 2019-12-06 Hao-Yang Li , Han-Ting Zhao , Meng-Lin Wei , Heng-Xin Ruan , Ya Shuang , Tie Jun Cui , Lianlin Li

Soft errors in memories and logic circuits are known to disturb program execution. In this context, the research community has been proposing a plethora of fault-tolerance (FT) solutions over the last decades, as well as fault-injection…

Software Engineering · Computer Science 2024-04-01 Tianhao Wang , Robin Thunig , Horst Schirmeier

Objectives Accurate MRI-based identification of extramural vascular invasion (EVI) and mesorectal fascia invasion (MFI) is crucial for risk-stratified rectal cancer treatment. However, subjective visual assessment and inter-institutional…

To improve power efficiency, researchers are experimenting with dynamically adjusting the supply voltage of systems below the nominal operating points. However, production systems are typically not allowed to function on voltage settings…

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