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Perin, G. (author), Wu, L. (author), Picek, S. (author)One of the main promoted advantages of deep learning in profiling side-channel analysis is the possibility of skipping the feature engineering process. Despite that, most recent publications consider feature selection as the attacked interval from the side-channel measurements is pre-selected. This is similar to the worst-case security...journal article 2022
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Batina, Lejla (author), Bhasin, Shivam (author), Jap, Dirmanto (author), Picek, S. (author)This paper was selected for Top Picks in Hardware and Embedded Security 2020 and it presents a physical side-channel attack aiming at reverse engineering neural networks implemented on an edge device. The attack does not need access to training data and allows for neural network recovery by feeding known random inputs. We successfully reverse...journal article 2022
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Xu, J. (author), Picek, S. (author)Graph Neural Networks (GNNs) have achieved impressive results in various graph learning tasks. They have found their way into many applications, such as fraud detection, molecular property prediction, or knowledge graph reasoning. However, GNNs have been recently demonstrated to be vulnerable to backdoor attacks. In this work, we explore a...conference paper 2022
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Xu, J. (author), Wang, R. (author), Koffas, S. (author), Liang, K. (author), Picek, S. (author)Graph Neural Networks (GNNs) are a class of deep learning-based methods for processing graph domain information. GNNs have recently become a widely used graph analysis method due to their superior ability to learn representations for complex graph data. Due to privacy concerns and regulation restrictions, centralized GNNs can be difficult to...conference paper 2022
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Conti, M. (author), Li, Jiaxin (author), Picek, S. (author), Xu, J. (author)Graph Neural Networks (GNNs), inspired by Convolutional Neural Networks (CNNs), aggregate the message of nodes' neighbors and structure information to acquire expressive representations of nodes for node classification, graph classification, and link prediction. Previous studies have indicated that node-level GNNs are vulnerable to Membership...conference paper 2022
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Perin, G. (author), Wu, L. (author), Picek, S. (author)Deep learning-based side-channel analysis (SCA) represents a strong approach for profiling attacks. Still, this does not mean it is trivial to find neural networks that perform well for any setting. Based on the developed neural network architectures, we can distinguish between small neural networks that are easier to tune and less prone to...book chapter 2022
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Koffas, S. (author), Picek, S. (author), Conti, M. (author)Outsourced training and machine learning as a service have resulted in novel attack vectors like backdoor attacks. Such attacks embed a secret functionality in a neural network activated when the trigger is added to its input. In most works in the literature, the trigger is static, both in terms of location and pattern. The effectiveness of...conference paper 2022
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Băcuieți, Norica (author), Batina, Lejla (author), Picek, S. (author)At CRYPTO’19, A. Gohr proposed neural distinguishers for the lightweight block cipher Speck32/64, achieving better results than the state-of-the-art at that point. However, the motivation for using that particular architecture was not very clear; therefore, in this paper, we study the depth-10 and depth-1 neural distinguishers proposed by...conference paper 2022
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Swaminathan, Sudharshan (author), Chmielewski, Łukasz (author), Perin, G. (author), Picek, S. (author)Side-channel attacks (SCA) focus on vulnerabilities caused by insecure implementations and exploit them to deduce useful information about the data being processed or the data itself through leakages obtained from the device. There have been many studies exploiting these leakages, and most of the state-of-the-art attacks have been shown to...conference paper 2022
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Picek, S. (author), Heuser, Annelie (author), Perin, G. (author), Guilley, Sylvain (author)Profiled side-channel attacks represent the most powerful category of side-channel attacks. There, the attacker has access to a clone device to profile its leaking behavior. Additionally, it is common to consider the attacker unbounded in power to allow the worst-case security analysis. This paper starts with a different premise where we are...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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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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Rezaeezade, A. (author), Perin, G. (author), Picek, S. (author)Profiling side-channel analysis allows evaluators to estimate the worst-case security of a target. When security evaluations relax the assumptions about the adversary’s knowledge, profiling models may easily be sub-optimal due to the inability to extract the most informative points of interest from the side-channel measurements. When used for...conference paper 2022
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Mukhtar, Naila (author), Batina, Lejla (author), Picek, S. (author), Kong, Yinan (author)Deep learning-based side-channel analysis performance heavily depends on the dataset size and the number of instances in each target class. Both small and imbalanced datasets might lead to unsuccessful side-channel attacks. The attack performance can be improved by generating traces synthetically from the obtained data instances instead of...conference paper 2022
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Arora, Vipul (author), Buhan, Ileana (author), Perin, G. (author), Picek, S. (author)Advances in cryptography have enabled the features of confidentiality, security, and integrity on small embedded devices such as IoT devices. While mathematically strong, the platform on which an algorithm is implemented plays a significant role in the security of the final product. Side-channel attacks exploit the variations in the system’s...conference paper 2022
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Li, H. (author), Mentens, Nele (author), Picek, S. (author)This paper uses RISC-V vector extensions to speed up lattice-based operations in architectures based on HW/SW co-design. We analyze the structure of the number-theoretic transform (NTT), inverse NTT (INTT), and coefficient-wise multiplication (CWM) in CRYSTALS-Kyber, a lattice-based key encapsulation mechanism. We propose 12 vector extensions...conference paper 2022
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- Jin, Yier (author), Ho, Tsung Yi (author), Picek, S. (author), Garg, Siddharth (author) contribution to periodical 2022
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Krcek, M. (author), Fronte, Daniele (author), Picek, S. (author)Fault injection attacks require the adversary to select suitable parameters for the attack. In this work, we consider laser fault injection and parameters like the location of the laser shot $(x,\ y)$, delay, pulse width, and intensity of the laser. The parameter selection process can be translated into an optimization problem. A very popular...conference paper 2021
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Xu, J. (author), Yang, Gongliu (author), Sun, Yiding (author), Picek, S. (author)The current navigation systems used in many autonomous mobile robotic applications, like unmanned vehicles, are always equipped with various sensors to get accurate navigation results. The key point is to fuse the information from different sensors efficiently. However, different sensors provide asynchronous measurements, some of which even...journal article 2021
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Carlet, Claude (author), Jakobovic, Domagoj (author), Picek, S. (author)In the last few decades, evolutionary algorithms were successfully applied numerous times for creating Boolean functions with good cryptographic properties. Still, the applicability of such approaches was always limited as the cryptographic community knows how to construct suitable Boolean functions with deterministic algebraic constructions....conference paper 2021