Publications

P. Yuhala, J. Ménétrey, P. Felber, M. Pasin, V. Schiavoni, Fortress: Securing IoT Peripherals with Trusted Execution Environments. 39th ACM/SIGAPP Symposium On Applied Computing, 2024.

J. Ménétrey, A. Grueter, P. Yuhala, J. Oeftiger, P. Felber, M. Pasin, V. Schiavoni, A Holistic Approach for Trustworthy Distributed Systems with WebAssembly and TEEs. OPODIS'23: 27th Conference on Principles of Distributed Systems, 2023.

Mateo Vázquez, Muhammad Waqar Azhar, Pedro Trancoso, Exploiting the Potential of Flexible Processing Units. SBAC-PAD 2023, 2023.

Kevin Mika, Florian Porrmann, Nils Kucza, René Griessl and Jens Hagemeyer, RECS: A Scable Platform for Heterogeneous Computing. IEEE SOCC, 2023.

Simon Queyrut, Valerio Schiavoni, Pascal Felber, Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environment. ICDCS 2023, 2023.

Marc Rothmann and Mario Porrmann, STANN: Synthesis Templates for Artificial Neural Network Inference and Training. IWANN 2023, 2023.

Hasan Heydari, Guthemberg Silvestre, Alysson Bessani, How Hard is Asynchronous Weight Reassignment?. ICDCS 2023, 2023.

Pascal Gerig, Jämes Ménétrey, Baptiste Lanoix, Florian Stoller, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Preventing Efail Attacks with Client-Side WebAssembly: The Case of Swiss Post’s IncaMail. DEBS'23, June 2023.

Robin Vassantlal, Hasan Heydari, Alysson Bessani, On the Minimal Knowledge Required for Solving Stellar Consensus. ICDCS 2023, 2023.

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.

Muhammad Waqar Azhar, Stavroula Zouzoula, Pedro Trancoso, ARADA: Adaptive Resource Allocation for Improving Energy Efficiency in Deep Learning Accelerators. Computing Frontiers 2023, 2023.

I. Zenden, H. Wang, A. Iacovazzi, A. Vahidi, R. Blom, S. Raza, On the Resilience of Machine Learning-Based IDS for Automotive Networks. 2023 IEEE Vehicular Networking Conference (VNC), April 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.

Stavroula Zouzoula, Muhammad Waqar Azhar, Pedro Trancoso, RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory. ISPASS 2023, 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.

H.-M. Heyn, P. Subbiah, J. Linder, E. Knauss, O. Eriksson, Setting AI in context: A case study on defining the context and operational design domain for automated driving. 28th Intl. Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2022), March 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.

Bakary Badjie, José Cecílio, Antonio Casimiro, Adversarial Attacks and Countermeasures on Image Classification-based Deep Learning Models in Autonomous Driving Systems: A Systematic Review. ACM Computing Surveys, 2024.

Guillem Boquet, Aleix Boquet-Pujadas, Ivan Pisa, Anand Dabak, Xavier Vilajosana, Borja Martinez, Indoor position estimation using angle of arrival measurements: An efficient multi-anchor approach with outlier rejection. Internet of Things, Volume 26, 2024.

Mazaher Kianpour, Shahid Raza, More than malware: unmasking the hidden risk of cybersecurity regulations. International Cybersecurity Law Review, 5, 169–212, 2024.

Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso, An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs. ACM Transactions on Architecture and Code Optimization, Vol. 21, No. 1, 2024.

J. Ménétrey, M. Pasin, P. Felber, V. Schiavoni, G. Mazzeo, A. Hollum, D. Vaydia, A Comprehensive Trusted Runtime for WebAssembly with Intel SGX. IEEE Transactions on Dependable and Secure Computing, 2023.

Han Wang, David Eklund, Alina Oprea, Shahid Raza, FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning. ACM Trans. Internet Things, Vol 4, Number 3, 2023.

S. Pradhan, H.-M. Heyn and E. Knauss, Identifying and Managing Data Quality Requirements: A Design Science Study in the Field of Automated Driving. Software Quality Journal 2023, 2023.

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. Demesie Yalew, M. Aslam, and S. Raza, TEE-Watchdog: Mitigating Unauthorized Activities within Trusted Execution Environments in ARM-Based Low-Power IoT Devices. Security and Communication Networks, Volume 2022, Article ID 8033799, 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.

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, A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers. Shaping the Future of IoT with Edge Intelligence – How Edge Computing Enables the Next Generation of IoT Applications, 2023.

Marcelo Pasin, Jämes Ménétrey, Pascal Felber, Valerio Schiavoni, Hans-Martin Heyn, Eric Knauss, Anum Khurshid, and Shahid Raza, Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems. Shaping the Future of IoT with Edge Intelligence - How Edge Computing Enables the Next Generation of IoT Applications, 2023.

I. Pisa, G. Boquet, X. Vilajosana, B. Martinez, On the generalization of Deep Learning models for AoA estimation in bluetooth indoor scenarios. Internet of Things, February 2024.

G. R. Leone, M. Righi, D. Moroni, F. Paolucci, Towards Multi-camera System for the Evaluation of Motorcycle Driving Test. 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022.

A. Sujatanagarjuna, S. Kia, D. F. Briechle & B. Leiding, MushR: A Smart, Automated, and Scalable Indoor Harvesting System for Gourmet Mushrooms. Agriculture 2023, 13, 1533 (Special Issue Digital Innovations in Agriculture), 2023.

S. Zhang, O. Wallscheid and M. Porrmann, Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends. IEEE Open Journal of Industry Applications (Volume 4), 2023.

F. Book, A. Traue, M. Schenke, B. Haucke-Korber and O. Wallscheind, Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives. 2023 IEEE International Electric Machines & Drives Conference (IEMDC), 2023.

M. Schenke, B. Haucke-Korber, and O. Wallscheid, Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor. IEEE Transactions on Power Electronics volume 38 issue 11 (pp. 13741-13756), November 2023.

VEDLIoT Consortium, The VEDLIoT project – Next-generation accelerated IoT. HiPEACinfo71, pages 24-25, 2024.

VEDLIoT Consortium, VEDLIoT: Next generation AIoT applications. Innovation News Network, Issue 16, pages 388-389, December 2023.

VEDLIoT Consortium, Unlocking the potential of IoT systems: The role of deep learning and AI. Innovation News Network, Issue 15, pages 318-319, September 2023.

Jämes Ménétrey, Pascal Felber, Marcelo Pasin and Valerio Schiavoni, Using WebAssembly for a more interoperable, secure cloud-edge continuum. HiPEACinfo68, pp.24-25, January 2023.

Jens Hagemeyer, Teaching the IoT to learn with VEDLIoT. HiPEACinfo67, pages 18-19, 2022.