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January 01 2023

X-ray attacks of new generation integrated circuits

CESTI is an Information Technology Security Evaluation Facility (ITSEF) laboratory dedicated to security evaluations of integrated circuits. During its evaluation process, various tests can be performed, amongst whose perturbation attacks. The latter consists in modifying chip behavior in order to get secret keys, to bypass authentication steps or to get rid of specific countermeasures. Laser, […] >>

January 01 2023

Neural Architecture Search for Binary Neural Networks on In-Memory Computing

Edge Artificial Intelligence and low-level Computer Vision is now massively deployed at the near-sensor level in order to further extend the capabilities of smart embedded imaging systems. This near-sensor intelligence typically allows 1000x gains by capping data transmission, thus improving energy efficiency. The In-Memory Computing (IMC) paradigm offers the opportunity to optimize processing architectures thanks […] >>

January 01 2023

Energy efficiency and link security optimization by joint antenna processing and envelope reduction

The proposed research work is twofold: improving the energy efficiency of 5G/6G millimeter radio access network and securing radio links. Mixed solutions at the frontier between the definition of radio head architecture and signal processing algorithms will be proposed and assessed according to two criteria: the energy efficiency of the proposed solutions and the ability […] >>

January 01 2023

Horizontal Magnetic Pulses and the Impact of Ultrafast Transient Current on Hardware Security of SoCs

Work carried out within the CEA-Leti has shown that physical attacks can be a threat to the security mechanisms of SoCs (System-On-Chips). Indeed, fault injections by electromagnetic disturbance have already led to an elevation of privileges by authenticating with an illegitimate password, or more recently have made it possible to circumvent one of the highest […] >>

January 01 2023

3D interferometric imaging system with integrated optics

3D sensing by capturing depth images, is a key function in numerous emerging applications such as facial recognition, augmented reality, robotics or drones. CEA targets the development of an innovative 3D sensing module, inspired from frequency modulated Lidar, with simultaneous illumination of the whole scene. To miniaturize the system, the proposed PhD will focus on […] >>
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