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of 3 629
pro vyhledávání: '"Veríssimo, P."'
A long-standing challenge is the design of chips resilient to faults and glitches. Both fine-grained gate diversity and coarse-grained modular redundancy have been used in the past. However, these approaches have not been well-studied under other thr
Externí odkaz:
http://arxiv.org/abs/2409.02553
Autor:
Gouveia, Inês Pinto, Sheikh, Ahmad T., Shoker, Ali, Fahmy, Suhaib A., Esteves-Verissimo, Paulo
Computational offload to hardware accelerators is gaining traction due to increasing computational demands and efficiency challenges. Programmable hardware, like FPGAs, offers a promising platform in rapidly evolving application areas, with the benef
Externí odkaz:
http://arxiv.org/abs/2406.18117
Autor:
Rojas, Onofre, de Souza, S. M., Torrico, J., Verissimo, L. M., Pereira, M. S. S., Lyra, M. L., Derzhko, Oleg
Publikováno v:
Phys. Rev. E 110, 024130 (2024)
Recently, a kind of finite-temperature pseudo-transition was observed in several quasi-one-dimensional models. In this work, we consider a genuine one-dimensional extended Hubbard model in the atomic limit, influenced by an external magnetic field an
Externí odkaz:
http://arxiv.org/abs/2406.01344
Autor:
Giebink, Noah, Gupta, Amrita, Verìssimo, Diogo, Chang, Charlotte H., Chang, Tony, Brennan, Angela, Dickson, Brett, Bowmer, Alex, Baillie, Jonathan
Measuring public attitudes toward wildlife provides crucial insights into our relationship with nature and helps monitor progress toward Global Biodiversity Framework targets. Yet, conducting such assessments at a global scale is challenging. Manuall
Externí odkaz:
http://arxiv.org/abs/2405.01610
Amidst the surge in deep learning-based password guessing models, challenges of generating high-quality passwords and reducing duplicate passwords persist. To address these challenges, we present PagPassGPT, a password guessing model constructed on G
Externí odkaz:
http://arxiv.org/abs/2404.04886
With recent legislation on the right to be forgotten, machine unlearning has emerged as a crucial research area. It facilitates the removal of a user's data from federated trained machine learning models without the necessity for retraining from scra
Externí odkaz:
http://arxiv.org/abs/2404.03180
The increasing interest in Autonomous Vehicles (AV) is notable due to business, safety, and performance reasons. While there is salient success in recent AV architectures, hinging on the advancements in AI models, there is a growing number of fatal i
Externí odkaz:
http://arxiv.org/abs/2402.14580
Autor:
Bessani, Alysson, Correia, Miguel, Distler, Tobias, Kapitza, Rüdiger, Esteves-Verissimo, Paulo, Yu, Jiangshan
A recent paper by Gupta et al. (EuroSys'23) challenged the usefulness of trusted component (TC) based Byzantine fault-tolerant (BFT) protocols to lower the replica group size from $3f+1$ to $2f+1$, identifying three limitations of such protocols and
Externí odkaz:
http://arxiv.org/abs/2312.05714
Publikováno v:
In the 97th IEEE Vehicular Technology Conference: VTC2023
Current vehicular Intrusion Detection and Prevention Systems either incur high false-positive rates or do not capture zero-day vulnerabilities, leading to safety-critical risks. In addition, prevention is limited to few primitive options like droppin
Externí odkaz:
http://arxiv.org/abs/2307.04184
Over-the-Air (OTA) software updates are becoming essential for electric/electronic vehicle architectures in order to reduce recalls amid the increasing software bugs and vulnerabilities. Current OTA update architectures rely heavily on direct cellula
Externí odkaz:
http://arxiv.org/abs/2307.02032