Very Efficient Deep Learning in IOT

Risultati finali

Intermediate dissemination plan and report

Update of D82 periodic reports providing updated plans and reports on dissemination T82

Second implementation of Security, Safety and Robustness mechanisms and tools (ANT, PU, M27)

Report on the extended design and implementation of cross-platform attestation, execution and communication. Report on the simulation platform and the Renode extensions on RISC-V. Extended draft on robustness and safety tools. (all tasks)

Evaluation of the DL accelerator designs

This deliverable is a report showing the results of the evaluation of the different DL accelerator designs (T3.1).

Initial report on the DL accelerator design

In this report we will describe the design and evaluation of the heterogeneous accelerator as well as the initial report on the design of the reconfigurable accelerator T32 and T33

First dissemination plan and report

First report on dissemination plan and channels and tools T81 and T82

Final report on cognitive IoT hardware platform and microserver development

Based on D4.1, this deliverable focuses on the final hard hardware and firmware developments.

Report on Open Call results

Report on the final use case architectures, developments and benchmarking results including lessons learned with respect to the VEDLIoT hardware platforms and toolchain (T7.5 and T7.8).

Design and early release of Security, Safety and Robustness mechanisms and tools

Report on the early design of attestation mechanisms with results on local implementations T51 Includes first draft of security support for execution and communication mechanisms and tools T52

Extended design and first implementation of Security, Safety and Robustness mechanisms and tools

Report on the design and implementation of distributed endtoend attestation T51 Extended design and implementation of communication with integrated attestation T52 Initial draft on robustness and safety tools T55

Report on existing hardware/software interfaces for DL and compilers

First report on the current landscape of software tools for interfacing and compiling deep learning acceleration on heterogeneous hardware T61

Report on cognitive IoT hardware optimizations

This deliverable covers the optimization efforts specializing the hardware platform towards the uses cases (T4.8)

Second report on use case development and optimisation

Second report on the developments and intermediate optimisations of the three use case, based on D7.2.

Dissemination plan and report

Update of D8.2, periodic reports providing updated plans and reports on dissemination (T8.2).

Intermediate report on the methods for requirement, specification, performance metrics and verification of context limited AI processing systems

This deliverable is an intermediate report focussing on the overall VEDLIoT requirements T21 and T22

Final report on the DL accelerator design

In this report we will describe the design and evaluation of the four DL accelerators: heterogeneous, reconfigurable, dynamically reconfigurable, and co-design. A comparison across the different designs will be discussed (T3.3 - T3.5).

Final report on wireless communication infrastructure

Extending D4.2, this report finalizes the wireless communication infrastructure

Final report on FPGA infrastructure, RISC-V system and accelerators

As a follow-up of D4.3, this report focuses on the FPGA infrastructure as well as the full RISC-V development (T4.4, T4.6 and T4.7)

Final report on the methods for requirement, specification, performance metrics and verification of context limited AI processing systems

Based on D21 this deliverable verifies the different requirements reviews the specification and provides an assessment of the processing system T21 and T22

Final report on use case development, optimisation, benchmarking and evaluation

Final report on the developments and optimisations of the three use case, based on D7.3. This report includes the benchmarking and evaluation of the use cases, comparing the baseline benchmarks to the optimised use cases (T7.2-T7.5).

Integrated and extended Security, Safety and Robustness mechanisms and tools

Final reports on the integration and evaluation of distributed attestation, communication and execution mechanisms, on the continuous integration engine and the simulation platform and on robustness and safety tools. (all tasks)

Pubblicazioni

A Comprehensive Trusted Runtime for WebAssembly with Intel SGX

Autori: J. Ménétrey, M. Pasin, P. Felber, V. Schiavoni, G. Mazzeo, A. Hollum, D. Vaydia
Pubblicato in: IEEE Transactions on Dependable and Secure Computing, 2023, Pagina/e 1-18, ISSN 1545-5971
Editore: IEEE Computer Society
DOI: 10.1109/tdsc.2023.3334516

TEE-Watchdog: Mitigating Unauthorized Activities within Trusted Execution Environments in ARM-Based Low-Power IoT Devices

Autori: Khurshid, Anum; Yalew, Sileshi Demesie; Aslam, Mudassar; Raza, Shahid
Pubblicato in: Security and Communication Networks, Numero Volume 2022, Article ID 8033799, 2022, ISSN 1939-0122
Editore: John Wiley & Sons Ltd.
DOI: 10.1155/2022/8033799

ShieLD: Shielding Cross-zone Communication within Limited-resourced IoT Devices running Vulnerable Software Stack

Autori: A. Khurshid, S. D. Yalew, M. Aslam and S. Raza
Pubblicato in: IEEE Transactions on Dependable and Secure Computing, Numero 6, 2022, ISSN 1545-5971
Editore: IEEE Computer Society
DOI: 10.1109/tdsc.2022.3147262

A compositional approach to creating architecture frameworks with an application to distributed AI systems

Autori: Hans-Martin Heyn; Eric Knauss; Patrizio Pelliccione
Pubblicato in: Journal of Systems and Software (0164-1212) vol.198(2023), Numero 9, 2023, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2022.111604

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation.

Autori: Florian Porrmann; Sarah Pilz; Alessandra Stella; Alessandra Stella; Alexander Kleinjohann; Alexander Kleinjohann; Michael Denker; Jens Hagemeyer; Ulrich Rückert
Pubblicato in: Frontiers in neuroinformatics, Numero 15, 2021, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.18154/rwth-2021-09579

AutoCert: Automated TOCTOU-secure Digital Certification for IoT with combined Authentication and Assurance

Autori: Anum Khurshida, Shahid Razaa
Pubblicato in: Computers & Security, Volume 124, Numero C, January 2023, Numero January 2023, 2023, ISSN 0167-4048
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2022.102952

Finite-Set Direct Torque Control via Edge-Computing-Assisted Safe Reinforcement Learning for a Permanent-Magnet Synchronous Motor

Autori: Maximilian Schenke; Barnabas Haucke-Korber; Oliver Wallscheid
Pubblicato in: IEEE Transactions on Power Electronics, Numero Volume: 38, Numero: 11, November 2023, 2023, Pagina/e 13741 - 13756, ISSN 0885-8993
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpel.2023.3303651

An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs

Autori: Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso
Pubblicato in: ACM Transactions on Architecture and Code Optimization (TACO), Numero Vol. 21, No. 1, 2024, ISSN 1544-3566
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3639823

Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT

Autori: R. Griessl, F. Porrmann, N. Kucza, K. Mika, J. Hagemeyer, M. Kaiser, M. Porrmann, M. Tassemeier, M. Flottmann, F. Qararyah, M. Waqar, P. Trancoso, D. Ödman, K. Gugala, G. Latonsinski
Pubblicato in: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Numero April 2023, 2023, Pagina/e 1-6, ISSN 1558-1101
Editore: Ada-Europe
DOI: 10.23919/date56975.2023.10137021

A Survey of Domain-Specific Architectures for Reinforcement Learning

Autori: Marc Rothmann; Mario Porrmann
Pubblicato in: IEEE Access, Numero 10, 2022, Pagina/e pp. 13753 - 13767, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3146518

MushR: A Smart, Automated, and Scalable Indoor Harvesting System for Gourmet Mushrooms

Autori: Anant Sujatanagarjuna; Shohreh Kia; Dominique Fabio Briechle; Benjamin Leiding
Pubblicato in: Agriculture; Volume 13; Numero 8; Pages: 1533, Numero 3(8), 2023, ISSN 2077-0472
Editore: MDPI
DOI: 10.3390/agriculture13081533

Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm

Autori: Badjie, Bakary; Cecílio, José; Casimiro, António
Pubblicato in: Ada User Journal, Volume 44, Number 3, September 2023, Numero March 2023, 2023, ISSN 1381-6551
Editore: Ada Language UK Ltd.
DOI: 10.48550/arxiv.2303.15901

FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning

Autori: Han Wang, David Eklund, Alina Oprea, Shahid Raza
Pubblicato in: ACM Transactions on Internet of Things, Numero July 2023, 2023, Pagina/e pp 1–24, ISSN 2577-6207
Editore: ACM - Association for Computing Machinery
DOI: 10.1145/3603257

Unlocking the potential of IoT systems: The role of deep learning and AI

Autori: Jens Hagemeyer in behalf of the VEDLIoT Consortium
Pubblicato in: The Innovation Platform, Numero Numero 15, 2023, Pagina/e 318-321
Editore: Innovation News Network

VEDLIoT: Next generation AIoT applications

Autori: Jens Hagemeyer in behalf of the VEDLIoT Consortium
Pubblicato in: The Innovation Platform, Numero Numero 16, 2023, Pagina/e 388-191
Editore: Innovation News Network

Identifying and managing data quality requirements: a design science study in the field of automated driving

Autori: S. Pradhan, H.-M. Heyn and E. Knauss
Pubblicato in: Software Quality Journal, Numero Special Numero on Artificial Intelligence and Requirements Engineering, 2023
Editore: Springer
DOI: 10.1007/s11219-023-09622-8

More Than Malware: Unmasking the Hidden Risk of Cybersecurity Regulations

Autori: Mazaher Kianpour and Shahid Raza
Pubblicato in: International Cybersecurity Law Review, Numero 2024, 2024
Editore: International Cybersecurity Law Review
DOI: 10.1365/s43439-024-00111-7

The VEDLIoT Project - Next-generation accelerated IoT

Autori: Jens Hagemeyer in behalf of the VEDLIoT Consortium
Pubblicato in: HiPEACinfo67, Numero November 2022, 2022, Pagina/e pp. 18-19
Editore: HiPEAC

Using WebAssembly for a more interoperable, secure cloud-edge continuum

Autori: Jämes Ménétrey, Pascal Felber, Marcelo Pasin and Valerio Schiavoni
Pubblicato in: HiPEACinfo68, Numero January 2023, 2023, Pagina/e pp. 24-25
Editore: HiPEAC

Next-generation accelerated IoT – The VEDLIoT project

Autori: Carola Haumann and Jens Hagemeyer in behalf of the VEDLIoT Consortium
Pubblicato in: HiPEACinfo, Numero No 71, 2024, Pagina/e 24-25
Editore: HiPEAC

On the generalization of Deep Learning models for AoA estimation in bluetooth indoor scenarios,

Autori: I. Pisa, G. Boquet, X. Vilajosana et al
Pubblicato in: Internet of Things, 2024, ISSN 2542-6605
Editore: Elsevier
DOI: 10.1016/j.iot.2024.101152

Next generation accelerated AIoT systems and applications

Autori: Mika, Kevin; Griessl, René; Kucza, Nils; Porrmann, Florian; Kaiser, Martin; Tigges, Lennart; Hagemeyer, Jens; Trancoso, Pedro; Azhar, Muhammad Waqar; Qararyah, Fareed; Zouzoula, Stavroula; Ménétrey, Jämes; Pasin, Marcelo; Felber, Pascal; Marcus, Carina; Brunnegard, Oliver; Eriksson, Olof; Salomonsson, Hans; Ödman, Daniel; Ask, Andreas; Casimiro, Antonio; Bessani, Alysson; Carvalho, Tiago; Gug
Pubblicato in: Proceedings of the 20th ACM International Conference on Computing Frontiers, Numero 9, 2023, Pagina/e 291-296, ISBN 979-8-4007-0140-5
Editore: ACM - Association for Computing Machinery
DOI: 10.1145/3587135.3592175

Setting AI in context: A case study on defining the context and operational design domain for automated driving

Autori: Hans-Martin Heyn, Padmini Subbiash, Jennifer Linder, Eric Knauss, Olof Eriksson
Pubblicato in: 28th International Working Conference on Requirement Engineering: Foundation for Software Quality, 2022
Editore: Foundation for Software Quality
DOI: 10.48550/arxiv.2201.11451

Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives

Autori: F. Book, A. Traue, M. Schenke, B. Haucke-Korber and O. Wallscheind
Pubblicato in: Proceedings of 2023 IEEE International Electric Machines & Drives Conference (IEMDC), Numero 06 September 2023, 2023, Pagina/e 1-7, ISBN 979-8-3503-9899-1
Editore: IEEE
DOI: 10.1109/iemdc55163.2023.10239044

COBRA: Dynamic Proactive Secret Sharing for Confidential BFT Services

Autori: Robin Vassantlal, Eduardo Alchieri, Bernardo Ferreira, Alysson Bessani
Pubblicato in: IEEE Symposium on Security and Privacy (SP), 2022, Pagina/e 1528-1528, ISBN 978-1-6654-1316-9
Editore: IEEE
DOI: 10.1109/sp46214.2022.00099

WaTZ: A Trusted WebAssembly Runtime Environment with Remote Attestation for TrustZone

Autori: James Menetrey; Marcelo Pasin; Pascal Felber; Valerio Schiavoni
Pubblicato in: ICDCS'22: Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, July 2022, Numero 2022, 2022, Pagina/e 1177-1189, ISBN 978-1-6654-7177-0
Editore: IEEE
DOI: 10.1109/icdcs54860.2022.00116

Shielding federated learning systems against inference attacks with ARM TrustZone

Autori: Aghiles Ait Messaoud; Sonia Ben Mokhtar; Vlad Nitu; Valerio Schiavoni
Pubblicato in: Proceedings of Middleware 2022 (23rd ACM/IFIP Middleware), Numero 8, 2022, Pagina/e 335-348, ISBN 978-1-6654-5155-0
Editore: ACM - Association for Computing Machinery
DOI: 10.1145/3528535.3565255

Exploiting the Potential of Flexible Processing Units

Autori: Mateo Vázquez, Muhammad Waqar Azhar, Pedro Trancoso
Pubblicato in: 2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Numero October 2022, 2023, Pagina/e 34-45, ISBN 979-8-3503-0548-7
Editore: IEEE
DOI: 10.1109/sbac-pad59825.2023.00013

VEDLIoT: Very Efficient Deep Learning in IoT

Autori: M. Kaiser, R. Griessl, N. Kucza, C. Haumann, L. Tigges, K. Mika, J. Hagemeyer, F. Porrmann, U. Rückert, M. vor dem Berge, S. Krupop, M. Porrmann, M. Tassemeier, P. Trancoso, F. Qararyah, S. Zouzoula, A. Casimiro, A. Bessani, J. Cecílio, S. Andersson, O. Brunnegard, O. Ekiksson, R. Weiss, F. Meierhöfer, H. Salomonsoon, E. Malekzadeh, D. Ödman, A. Khurshid, P. Felber, M. Pasin, V. Schiavoni, J.
Pubblicato in: Automation & Test in Europe Conference & Exhibition (DATE), Numero 14-23 March 2022, 2022, ISSN 1558-1101
Editore: IEEE
DOI: 10.23919/date54114.2022.9774653

Preventing EFail Attacks with Client-Side WebAssembly: The Case of Swiss Post's IncaMail

Autori: Pascal Gerig; Jämes Ménétrey; Baptiste Lanoix; Florian Stoller; Pascal Felber; Marcelo Pasin; Valerio Schiavoni
Pubblicato in: DEBS'23: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Numero April 2023, 2023, Pagina/e 151-156, ISBN 979-8-4007-0122-1
Editore: ACM - Association for Computing Machinery
DOI: 10.1145/3583678.3596899

Towards Multi-camera System for the Evaluation of Motorcycle Driving Test

Autori: G. R. Leone, M. Righi, D. Moroni, F. Paolucci
Pubblicato in: 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2023, Pagina/e 561-568, ISBN 978-1-6654-6495-6
Editore: IEEE
DOI: 10.1109/sitis57111.2022.00090

On the Resilience of Machine Learning-Based IDS for Automotive Networks

Autori: Ivo Zenden, Han Wang, Alfonso Iacovazzi, Arash Vahidi, Rolf Blom, Shahid Raza
Pubblicato in: Proceedings of the IEEE Vehicular Networking Conference (VNC), Numero June 2023, 2023, Pagina/e pp. 239-246, ISBN 979-8-3503-3549-1
Editore: IEEE
DOI: 10.1109/vnc57357.2023.10136285

Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environment

Autori: Simon Queyrut, Valerio Schiavoni, Pascal Felber
Pubblicato in: Proceedings 43rd International Conference on Distributed Computing Systems, Numero September 2023, 2023, Pagina/e 626-637, ISBN 979-8-3503-3986-4
Editore: IEEE
DOI: 10.1109/icdcs57875.2023.00069

STANN - Synthesis Templates for Artificial Neural Network Inference and Training

Autori: Marc Rothmann, Mario Porrmann
Pubblicato in: Advances in Computational Intelligence. IWANN 2023, Numero April 2023, 2023, Pagina/e 394–405, ISBN 978-3-031-43084-8
Editore: Springer, Cham
DOI: 10.1007/978-3-031-43085-5_31

ARADA: Adaptive Resource Allocation for Improving Energy Efficiency in Deep Learning Accelerators

Autori: Muhammad Waqar Azhar; Stavroula Zouzoula; Pedro Trancoso
Pubblicato in: Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, Numero 6, 2023, Pagina/e pp. 63-72, ISBN 979-8-4007-0140-5
Editore: ACM - Association for Computing Machinery
DOI: 10.1145/3587135.3592207

An Exploratory Study of Attestation Mechanisms for Trusted Execution Environments

Autori: Jämes Ménétrey, Christian Göttel, Marcelo Pasin, Pascal Felber, Valerio Schiavoni
Pubblicato in: SysTEX'22, Numero 5th Workshop on System Software for Trusted Execution, 2022
Editore: Cornell University
DOI: 10.48550/arxiv.2204.06790

VSA: A Hybrid Vector-Systolic Architecture

Autori: Mateo Vázquez Maceiras, Muhammad Waqar Azhar, Pedro Trancoso
Pubblicato in: Proceedings of 2022 2022 IEEE 40th International Conference on Computer Design (ICCD), Numero October 2022, 2022, Pagina/e 368-376, ISBN 978-1-6654-6186-3
Editore: IEEE
DOI: 10.1109/iccd56317.2022.00061

RECS: A Scable Platform for Heterogeneous Computing

Autori: Kevin Mika, Florian Porrmann, Nils Kucza, René Griessl and Jens Hagemeyer
Pubblicato in: Proceedings of 2023 IEEE 36th International System-on-Chip Conference (SOCC), Numero September 2023, 2023, Pagina/e 1-6, ISBN 979-8-3503-0011-6
Editore: IEEE
DOI: 10.1109/socc58585.2023.10256982

FiBHA: Fixed Budget Hybrid CNN Accelerator

Autori: Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso
Pubblicato in: IEEE 34th International Symposium on Computer Architecture and High Performance Computing, Numero November 2022, 2022, Pagina/e 180-190, ISBN 978-1-6654-5155-0
Editore: IEEE
DOI: 10.1109/sbac-pad55451.2022.00029

WebAssembly as a Common Layer for the Cloud-edge Continuum

Autori: Jämes Ménétrey; Marcelo Pasin; Pascal Felber; Valerio Schiavoni
Pubblicato in: FRAME'22: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, co-located with HPDC'22, Numero July 2022, 2022, Pagina/e 3-8
Editore: Association for Computing Machinery, New York, NY, United States
DOI: 10.1145/3526059.3533618

GradSec: a TEE-based Scheme Against FederatedLearning Inference Attacks

Autori: Aghiles Ait Messaoud, Vlad Nitu, Sonia Ben Mokhtar, Valerio Schiavoni
Pubblicato in: ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, Numero 2021, 2021, Pagina/e pp. 10-12, ISBN 978-1-4503-8708-8
Editore: ACM - Association for Computing Machinery
DOI: 10.1145/3477114.3488763

A Holistic Approach for Trustworthy Distributed Systems with WebAssembly and TEEs

Autori: J. Ménétrey, A. Grueter, P. Yuhala, J. Oeftiger, P. Felber, M. Pasin, V. Schiavoni
Pubblicato in: OPODIS'23: Proceedings of the 27th Conference on Principles of Distributed Systems, Numero December 2023, 2023
Editore: OPODIS'23: 27th Conference on Principles of Distributed Systems
DOI: 10.48550/arxiv.2312.00702

RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory

Autori: Stavroula Zouzoula, Muhammad Waqar Azhar, Pedro Trancoso
Pubblicato in: Proceedings of 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Numero April 2023, 2023, Pagina/e 352-354, ISBN 979-8-3503-9739-0
Editore: IEEE
DOI: 10.1109/ispass57527.2023.00050

On the Minimal Knowledge Required for Solving Stellar Consensus

Autori: Robin Vassantlal; Hasan Heydari; Alysson Bessani
Pubblicato in: Proceedings 43rd International Conference on Distributed Computing Systems, Numero June 2023, 2023, Pagina/e 682-691, ISBN 979-8-3503-3986-4
Editore: IEEE
DOI: 10.1109/icdcs57875.2023.00016

Attestation Mechanisms for Trusted Execution Environments Demystified

Autori: Jämes Ménétrey, Christian Göttel, Anum Khurshid, Marcelo Pasin, Pascal Felber, Valerio Schiavoni and Shahid Raza
Pubblicato in: DAIS'22, Numero 22, 2022
Editore: Springer
DOI: 10.48550/arxiv.2206.03780

Fortress: Securing IoT Peripherals with Trusted Execution Environments

Autori: P. Yuhala, J. Ménétrey, P. Felber, M. Pasin, V. Schiavoni
Pubblicato in: 2024 Symposium on Applied Computing, 2023
Editore: Association for Computing Machinery
DOI: 10.48550/arxiv.2312.02542

How Hard is Asynchronous Weight Reassignment? (Extended Version)

Autori: Heydari, Hasan; Silvestre, Guthemberg; Bessani, Alysson
Pubblicato in: IWANN International Work Conference on Artificial Neural Networks, Numero 10, 2023, Pagina/e 523-533, ISBN 979-8-3503-3986-4
Editore: IEEE
DOI: 10.48550/arxiv.2306.03185

Making Reads in BFT State Machine Replication Fast, Linearizable, and Live.

Autori: Christian Berger; Hans P. Reiser; Alysson Bessani
Pubblicato in: SRDS, Numero 2, 2021, Pagina/e pp. 1-12, ISBN 978-1-6654-3819-3
Editore: IEEE
DOI: 10.1109/srds53918.2021.00010

FAQ: A Flexible Accelerator for Q-Learning with Configurable Environment

Autori: M. Rothmann, M. Porrmann
Pubblicato in: 2022 IEEE 33rd Internacional Conference on Application-specific Systems, Architectures and Processors (ASAP), 2022, Pagina/e 106-114, ISBN 978-1-6654-8308-7
Editore: IEEE
DOI: 10.1109/asap54787.2022.00026

Requirement Engineering Challenges for AI-intense Systems Development

Autori: Hans-Martin Heyn; Eric Knauss; Amna Pir Muhammad; Olof Eriksson; Jennifer Linder; Padmini Subbiah; Shameer Kumar Pradhan; Sagar Tungal
Pubblicato in: WAIN@ICSE, Numero 3, 2021
Editore: IEEE
DOI: 10.1109/wain52551.2021.00020

Twine: An Embedded Trusted Runtime for WebAssembly

Autori: Jämes Ménétrey; Marcelo Pasin; Pascal Felber; Valerio Schiavoni
Pubblicato in: ICDE'21, Numero 37, 2021, Pagina/e pp. 205-216, ISBN 978-1-7281-9184-3
Editore: Cornell University
DOI: 10.1109/icde51399.2021.00025

Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends

Autori: S. Zhang, O. Wallscheid and M. Porrmann
Pubblicato in: IEEE Open Journal of Industry Applications, Numero Vol. 4, 2023, Pagina/e 188 - 214, ISSN 2644-1241
Editore: IEEE
DOI: 10.1109/ojia.2023.3284717

Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems

Autori: Marcelo Pasin, Jämes Ménétrey, Pascal Felber, Valerio Schiavoni, Hans-Martin Heyn, Eric Knauss, Anum Khurshid, and Shahid Raza
Pubblicato in: Shaping the Future of IoT with Edge Intelligence - How Edge Computing Enables the Next Generation of IoT Applications, Numero September 2023, 2023, Pagina/e 197-228, ISBN 9788770040266
Editore: River publishers
DOI: 10.13052/rp-9788770040266

An Investigation of Challenges Encountered When Specifying Training Data and Runtime Monitors for Safety Critical ML Applications

Autori: Heyn, Hans-Martin; Knauss, Eric; Malleswaran, Iswarya; Dinakaran, Shruthi
Pubblicato in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (03029743) vol.13975 LNCS(2023), Numero 9, 2023, Pagina/e 206-222, ISBN 978-3-031-29786-1
Editore: Springer, Cham
DOI: 10.1007/978-3-031-29786-1_14

A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers

Autori: R. Griessl, F. Porrmann, N. Kucza, K. Mika, J. Hagemeyer, M. Kaiser, M. Porrmann, M. Tassemeier, M. Flottmann, F. Qararyah, M. Waqar, P. Trancoso, D. Ödman, K. Gugala and G. Latosinski
Pubblicato in: Shaping the Future of IoT with Edge Intelligence - How Edge Computing Enables the Next Generation of IoT Applications, Numero September 2023, 2023, Pagina/e 179-196, ISBN 9788770040266
Editore: River publishers

Towards Trustworthy and Secure Internet of Things Devices : Using hardware-assisted Trusted Execution and Automated Certification

Autori: Khurshid, Anum
Pubblicato in: Numero 8, 2022, Pagina/e 54, ISBN 978-91-513-1638-3
Editore: Acta Universitatis Upsaliensis

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