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| | Preview | Author(s) | Title | Type | Issue Date |
| 121 | | Putra, Rachmad Vidya Wicaksana ; Shafique, Muhammad | Q-SpiNN: A Framework for Quantizing Spiking Neural Networks | Konferenzbeitrag Inproceedings  | 2021 |
| 122 | | Tauner, Stefan ; Telesklav, Mario ; Halder, Linus | Hardware-Assisted Control Flow Integrity Schemes on RISC-V | Präsentation Presentation | 2021 |
| 123 | | Bosio, Alberto ; O´Connor, Ian ; Traiola, Marcello ; Echavarria, Jorge ; Teich, Juergen ; Hanif, Muhammad Abdullah ; Shafique, Muhammad ; Hamdioui, Said ; Deveautour, Bastien ; Girard, Patrick ; Bertels, Koen | Emerging Computing Devices: Challenges and Opportunities for Test and Reliability | Konferenzbeitrag Inproceedings | 2021 |
| 124 | | Schwarz, Manfred ; Schmid, Ulrich | Round-Oblivious Stabilizing Consensus in Dynamic Networks | Konferenzbeitrag Inproceedings | 2021 |
| 125 | | Kuznets, Roman ; Marin, Sonia ; Strassburger, Lutz | Intuiting Duals of Proofs | Präsentation Presentation | 2021 |
| 126 | | Winkler, Kyrill ; Schmid, Ulrich ; Nowak, Thomas | Valency-Based Consensus Under Message Adversaries Without Limit-Closure | Konferenzbeitrag Inproceedings | 2021 |
| 127 |  | Tabassam, Zaheer ; Behal, Patrick ; Najvirt, Robert ; Steininger, Andreas | Input/Output-Interlocking for Fault Mitigation in QDI Pipelines | Inproceedings Konferenzbeitrag   | 2021 |
| 128 |  | Behal, Patrick ; Huemer, Florian ; Najvirt, Robert ; Tabassam, Zaheer ; Steininger, Andreas | Towards Explaining the Fault Sensitivity of Different QDI Pipeline Styles | Inproceedings Konferenzbeitrag | 2021 |
| 129 |  | Behal, Patrick ; Huemer, Florian Ferdinand ; Najvirt, Robert ; Steininger, Andreas | An Automated Setup for Large-Scale Simulation-Based Fault-Injection Experiments on Asynchronous Digital Circuits | Inproceedings Konferenzbeitrag | 2021 |
| 130 |  | Elshehaby, Raghda ; Steininger, Andreas | Analysis of State Corruption caused by Permanent Faults in WCHB-based Quasi Delay-Insensitive Pipelines | Inproceedings Konferenzbeitrag | 2021 |
| 131 |  | Öhlinger, Daniel ; Maier, Jürgen ; Függer, Matthias ; Schmid, Ulrich | The involution tool for accurate digital timing and power analysis | Article Artikel | Sep-2020 |
| 132 | | Theocharides, Theocharis ; Shafique, Muhammad ; Choi, Jungwook ; Mutlu, Onur | Guest Editorial: Robust Resource-Constrained Systems for Machine Learning | Artikel Article | Apr-2020 |
| 133 | | Duer, Wolfgang ; Steininger, Andreas | Merging Redundant Crystal Oscillators into a Fault-Tolerant Clock | Konferenzbeitrag Inproceedings | 2020 |
| 134 | | Brunvand, Erik ; Stevens, Ken ; Moreira, Matheus ; Steininger, Andreas | Welcome Message: ASYNC 2020 | Konferenzbeitrag Inproceedings | 2020 |
| 135 | | Marchisio, Alberto ; Mrazek, Vojtech ; Hanif, Muhammad Abudllah ; Shafique, Muhammad | ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations | Konferenzbeitrag Inproceedings | 2020 |
| 136 | | Marchisio, Alberto ; Massa, Andrea ; Mrazek, Vojtech ; Bussolino, Beatrice ; Martina, Maurizio ; Shafique, Muhammad | NASCaps | Konferenzbeitrag Inproceedings | 2020 |
| 137 | | Castro-Godinez, Jorge ; Hernandez-Araya, Deykel ; Shafique, Muhammad ; Henkel, Jorg | Approximate Acceleration for CNN-based Applications on IoT Edge Devices | Konferenzbeitrag Inproceedings | 2020 |
| 138 | | Naseer, Mahum ; Minhas, Mishal Fatima ; Khalid, Faiq ; Hanif, Muhammad Abdullah ; Hasan, Osman ; Shafique, Muhammad | FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks | Konferenzbeitrag Inproceedings | 2020 |
| 139 | | Hoang, Le-Ha ; Hanif, Muhammad Abdullah ; Shafique, Muhammad | FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation | Konferenzbeitrag Inproceedings | 2020 |
| 140 | | Colucci, Alessio ; Marchisio, Alberto ; Bussolino, Beatrice ; Mrazek, Voitech ; Martina, Maurizio ; Masera, Guido ; Shafique, Muhammad | A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress | Konferenzbeitrag Inproceedings | 2020 |
