| 2021 | Learning from AV Safety: Hope and Humility Shape Policy and Progress. | Marjory S. Blumenthal |
| 2021 | Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty. | Fabio Arnez, Huscar Espinoza, Ansgar Radermacher, Franois Terrier |
| 2021 | Offline Access to a Vehicle via PKI-Based Authentication. | Jakub Arm, Petr Fiedler, Ondrej Bastan |
| 2021 | Effect of Label Noise on Robustness of Deep Neural Network Object Detectors. | Bishwo Adhikari, Jukka Peltomki, Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen |
| 2021 | A Modular Approach to Non-deterministic Dynamic Fault Trees. | Sascha Mller, Adeline Jordon, Andreas Gerndt, Thomas Noll |
| 2021 | Experimental Conformance Evaluation onUBER ATG Safety Case Framework withANSI/UL 4600. | Kenji Taguchi, Fuyuki Ishikawa |
| 2020 | A Safety Framework for Critical Systems Utilising Deep Neural Networks. | Xingyu Zhao, Alec Banks, James Sharp, Valentin Robu, David Flynn, Michael Fisher, Xiaowei Huang |
| 2020 | Leveraging Semi-formal Approaches for DepDevOps. | Wanja Zaeske, Umut Durak |
| 2020 | A Safety Case Pattern for Systems with Machine Learning Components. | Ernest Wozniak, Carmen Crlan, Esra Acar-Celik, Henrik J. Putzer |
| 2020 | Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. | Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht |
| 2020 | An Assurance Case Pattern for the Interpretability of Machine Learning in Safety-Critical Systems. | Francis Rhys Ward, Ibrahim Habli |
| 2020 | Just Enough Formality in Assurance Argument Structures. | Torin Viger, Rick Salay, Gehan M. K. Selim, Marsha Chechik |
| 2020 | Using Hardware-In-Loop-Based Fault Injection to Determine the Effects of Control Flow Errors in Industrial Control Programs. | Jens Vankeirsbilck, Hans Hallez, Jeroen Boydens |
| 2020 | Distributed AI for Special-Purpose Vehicles. | Kevin Van Vaerenbergh, Henrique Cabral, Pierre Dagnely, Tom Tourw |
| 2020 | A Method to Support the Accountability of Safety Cases by Integrating Safety Analysis and Model-Based Design. | Nobuaki Tanaka, Hisashi Yomiya, Kiyoshi Ogawa |
| 2020 | Supervisory Control Theory in System Safety Analysis. | Yuvaraj Selvaraj, Zhennan Fei, Martin Fabian |
| 2020 | Cynefin Framework, DevOps and Secure IoT - Understanding the Nature of IoT Systems and Exploring Where in the DevOps Cycle Easy Gains Can Be Made to Increase Their Security. | Franklin Selgert |
| 2020 | Structuring the Safety Argumentation for Deep Neural Network Based Perception in Automotive Applications. | Gesina Schwalbe, Bernhard Knie, Timo Smann, Timo Dobberphul, Lydia Gauerhof, Shervin Raafatnia, Vittorio Rocco |
| 2020 | Automated Anomaly Detection in CPS Log Files - A Time Series Clustering Approach. | Tabea Schmidt, Florian Hauer, Alexander Pretschner |
| 2020 | Engineering of Runtime Safety Monitors for Cyber-Physical Systems with Digital Dependability Identities. | Jan Reich, Daniel Schneider, Ioannis Sorokos, Yiannis Papadopoulos, Tim Kelly, Ran Wei, Eric Armengaud, Cem Kaypmaz |
| 2020 | Towards Building Data Trust and Transparency in Data-Driven Business Applications. | Annanda Rath, Wim Codenie, Anna Hristoskova |
| 2020 | Towards a DevOps Approach in Cyber Physical Production Systems Using Digital Twins. | Miriam Ugarte Querejeta, Leire Etxeberria, Goiuria Sagardui |
| 2020 | Safety Meets Security: Using IEC 62443 for a Highly Automated Road Vehicle. | Dominik Pllen, Nikolaos A. Anagnostopoulos, Tolga Arul, Stefan Katzenbeisser |
| 2020 | Formalising the Impact of Security Attacks on IoT Safety. | Ehsan Poorhadi, Elena Troubitysna, Gyrgy Dn |
| 2020 | An Instruction Filter for Time-Predictable Code Execution on Standard Processors. | Michael Platzer, Peter P. Puschner |