Hardware-Based Methodology To Protect AI Accelerators


A technical paper titled “A Unified Hardware-based Threat Detector for AI Accelerators” was published by researchers at Nanyang Technological University and Tsinghua University. Abstract: "The proliferation of AI technology gives rise to a variety of security threats, which significantly compromise the confidentiality and integrity of AI models and applications. Existing software-based so... » read more

More Efficient Side-Channel Analysis By Applying Two Deep Feature Loss Functions


A technical paper titled “Beyond the Last Layer: Deep Feature Loss Functions in Side-channel Analysis” was published by researchers at Nanyang Technological University, Radboud University, and Delft University of Technology. Abstract: "This paper provides a novel perspective on improving the efficiency of side-channel analysis by applying two deep feature loss functions: Soft Nearest Neig... » read more

Formal Verification Of a Sequestered Encryption Architecture


A technical paper titled “Security Verification of Low-Trust Architectures” was published by researchers at Princeton University, University of Michigan, and Lafayette College. Abstract: "Low-trust architectures work on, from the viewpoint of software, always-encrypted data, and significantly reduce the amount of hardware trust to a small software-free enclave component. In this paper, we... » read more

Secure Implementation Of Post-Quantum Crypto In The Spotlight


The US-based NIST body takes a leading role in the migration to Post-Quantum Crypto (PQC). After a multi-year selection process, in 2022 they preliminarily identified a number of Post Quantum algorithms, which were recommended to replace the current public key algorithms (RSA, ECC). While the process of scrutiny is still ongoing, they now took another important step by putting emphasis on imple... » read more

Overview of Machine Learning Algorithms Used In Hardware Security (TU Delft)


A new technical paper titled "A Survey on Machine Learning in Hardware Security" was published by researchers at TU Delft. Abstract "Hardware security is currently a very influential domain, where each year countless works are published concerning attacks against hardware and countermeasures. A significant number of them use machine learning, which is proven to be very effective in ... » read more

Vulnerability of Neural Networks Deployed As Black Boxes Across Accelerated HW Through Electromagnetic Side Channels


This technical paper titled "Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel" was presented by researchers at Columbia University, Adobe Research and University of Toronto at the 31st USENIX Security Symposium in August 2022. Abstract: "Neural network applications have become popular in both enterprise and personal settings. Network solutions are tune... » read more

FICS Research Institute: Detailed Assessment of the PQC Candidates To Power Side Channel Attacks


New research paper by a team of researchers from FICS Research Institute titled "PQC-SEP: Power Side-Channel Evaluation Platform for Post-Quantum Cryptography Algorithms." Abstract "Research in post-quantum cryptography (PQC) aims to develop cryptographic algorithms that can withstand classical and quantum attacks. The recent advance in the PQC field has gradually switched from the theory t... » read more

Spatial Analysis Tools & Side Channel Attacks


Abstract "Practical side-channel attacks on recent devices may be challenging due to the poor quality of acquired signals. It can originate from different factors, such as the growing architecture complexity, especially in System-on-Chips, creating unpredictable and concurrent operation of multiple signal sources in the device. This work makes use of mixture distributions to formalize... » read more

Online Template Attacks


Authors: Lejla Batina, Radboud University Nijmegen, Nijmegen, The Netherlands Łukasz Chmielewski, Riscure, Delft, The Netherlands Louiza Papachristodoulou, Radboud University Nijmegen, Nijmegen, The Netherlands Peter Schwabe, Radboud University Nijmegen, Nijmegen, The Netherlands Michael Tunstall, Rambus Cryptography Research Division, San Francisco, USA. Template attacks are a special... » read more