Conference papers

Kevin Mika, René Griessl, Nils Kucza, Florian Porrmann, Martin Kaiser, Lennart Tigges, Jens Hagemeyer, Pedro Trancoso, Muhammad Waqar Azhar, Fareed Qararyah, Stavroula Zouzoula, Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Carina Marcus, Oliver Brunnegard, Olof Eriksson, Hans Salomonsson, Daniel Ödman, Andreas Ask, Antonio Casimiro, Alysson Bessani, Tiago Carvalho, Karol Gugala, Piotr Zierhoffer, Grzegorz Latosinski, Marco Tassemeier, Mario Porrmann, Hans-Martin Heyn, Eric Knauss, Yufei Mao, Franz Meierhöfer, VEDLIoT — Next generation accelerated AIoT systems and applications. Computing Frontiers 2023, May 2023.

Hans-Martin Heyn, Eric Knauss, Iswarya Malleswaran, Shruthi Dinakaran, An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications. Part of the Lecture Notes in Computer Science book series (LNCS, volume 13975), April 2023.

Bakary Badjie, José Cecílio, António Casimiro, Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm. 27th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2023), 2023.

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, Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. DATE Conference 2023, April 2023.

Mateo Vazquez Maceiras, Muhammad Waqar Azhar, Pedro Trancoso, VSA: A Hybrid Vector-Systolic Architecture. ICCD 2022, October 2022.

Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso, FiBHA: Fixed Budget Hybrid CNN Accelerator. IEEE SBAC-PAD, November 2022.

Aghiles Ait Messaoud, Vlad Nitu, Sonia Ben Mokhtar, Valerio Schiavoni, Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone. MIDDLEWARE 2022, November 2022.

M. Rothmann and M. Porrmann, FAQ: A Flexible Accelerator for Q-Learning with Configurable Environmen. 2022 IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP), Gothenburg, Sweden, October 2022.

Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Valerio Schiavoni, WaTZ: A Trusted WebAssembly Runtime Environment with Remote Attestation for TrustZone. 42nd IEEE International Conference on Distributed Computing Systems (ICDCS'22), July 2022.

Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Valerio Schiavoni, WebAssembly as a common layer for the cloud-edge continuum. 2nd workshop on Flexible Resource and Application Management on the Edge (FRAME'22), co-located with the ACM 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC'22), June 2022.

Jämes Ménétrey, Christian Göttel, Anum Khurshid, Marcelo Pasin, Pascal Felber, Valerio Schiavoni and Shahid Raza, Attestation Mechanisms for Trusted Execution Environments Demystified. 22nd International Conference on Distributed Applications and Interoperable Systems (DAIS'22), June 2022.

Jämes Ménétrey, Christian Göttel, Marcelo Pasin, Pascal Felber, Valerio Schiavoni, An Exploratory Study of Attestation Mechanisms for Trusted Execution Environments. 5th Workshop on System Software for Trusted Execution (SysTEX'22), co-located with the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'22), March 2022.

Robin Vassantlal, Eduardo Alchieri, Bernardo Ferreira, Alysson Bessani, COBRA: Dynamic Proactive Secret Sharing for Confidential BFT Services. 43rd IEEE Symposium on Security and Privacy (SP’22), San Francisco, CA, USA, May 2022.

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. Ménétrey, K. Gugala, P. Zierhoffer, E. Knauss, H. Heyn, VEDLIoT: Very Efficient Deep Learning in IoT. Design, Automation and Test in Europe Conference (DATE 2022), March 2022.

Aghiles Ait Messaoud, Vlad Nitu, Sonia Ben Mokhtar, Valerio Schiavoni, GradSec: a TEE-based Scheme Against FederatedLearning Inference Attacks. Workshop on Systems Challenges in Reliable and Secure Federated Learning (ResilientFL'21), co-located with the 28th ACM Symposium on Operating Systems Principles (SOSP'21), October 2021.

Christian Berger, Hans P. Reiser, Alysson Bessani, Making Reads in BFT State Machine Replication Fast, Linearizable, and Live. The 40th International Symposium on Reliable Distributed Systems (SRDS’21), September 2021.

Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad, Olof Eriksson, Jennifer Linder, Padmini Subbiah, Shameer Kumar Pradhan, Sagar Tungal, Requirement Engineering Challenges for AI-intense Systems Development. 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN), May 2021.

Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Valerio Schiavoni, TWINE: An Embedded Trusted Runtime for WebAssembly. 37th IEEE International Conference on Data Engineering (ICDE'21), April 2021.

Journal papers

Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione, A compositional approach to creating architecture frameworks with an application to distributed AI systems. Journal of Systems and Software, January 2023.

Anum Khurshid, Shahid Raza, AutoCert: Automated TOCTOU-secure Digital Certification for IoT with combined Authentication and Assurance. Computers & Security, Volume 124, October 2022.

A. Khurshid, S. D. Yalew, M. Aslam and S. Raza, ShieLD: Shielding Cross-zone Communication within Limited-resourced IoT Devices running Vulnerable Software Stack. IEEE Transactions on Dependable and Secure Computing, 2022.

M. Rothmann and M. Porrmann, A Survey of Domain-Specific Architectures for Reinforcement Learning. IEEE Access, vol. 10, 2022.

F. Porrmann, S. Pilz, A. Stella, A. Kleinjohann, M. Denker, J. Hagemeyer and U. Rückert, Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation. Frontiers in Neuroinformatics, Vol. 15, 2021.