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ORCIDICAA 2022: Virtual Event / Fajardo, PR, USA
- IEEE International Conference on Assured Autonomy, ICAA 2022, Virtual Event / Fajardo, PR, USA, March 22-24, 2022. IEEE 2022, ISBN 978-1-6654-8539-5
- Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson
:
On Using Real-Time Reachability for the Safety Assurance of Machine Learning Controllers. 1-10 - Nathaniel Hamilton, Patrick Musau, Diego Manzanas Lopez, Taylor T. Johnson:
Zero-Shot Policy Transfer in Autonomous Racing: Reinforcement Learning vs Imitation Learning. 11-20 - Samuel Lefcourt, Nathaniel G. Gordon, Hanting Wong, Gregory Falco:
Robustness Assurance Quotient: Demonstrating Context Matters for AI Performance and ML Security. 21-27 - Christian Ellis, Maggie B. Wigness, Lance Fiondella:
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle. 28-35 - Chandreyee Bhowmick, Mudassir Shabbir, Waseem Abbas, Xenofon D. Koutsoukos:
Resilient Multi-agent Reinforcement Learning Using Medoid and Soft-medoid Based Aggregation. 36-45 - Dimitrios Boursinos, Xenofon D. Koutsoukos:
Selective Classification of Sequential Data Using Inductive Conformal Prediction. 46-55 - Darryl Hond, Hamid Asgari, Leonardo Symonds, Mike Newman:
Layer-Wise Analysis of Neuron Activation Values for Performance Verification of Artificial Neural Network Classifiers. 56-63 - Anna L. Buczak, Benjamin D. Baugher, Adam J. Berlier, Kayla E. Scharfstein, Christine S. Martin:
Explainable Forecasts of Disruptive Events using Recurrent Neural Networks. 64-73 - Karen Joisten, Nicole Thiemer, Tobias Renner, Anke Janssen, Alexander Scheffler:
Focusing on the Ethical Challenges of Data Breaches and Applications. 74-82 - Qi Cheng, Anyi Xu, Xiangyang Li, Leah Ding:
Adversarial Email Generation against Spam Detection Models through Feature Perturbation. 83-92 - Daniel Williams, Chelece Clark, Rachel McGahan, Bradley Potteiger, Daniel Cohen, Patrick Musau:
Discovery of AI/ML Supply Chain Vulnerabilities within Automotive Cyber-Physical Systems. 93-96 - Robert Canady, Xingyu Zhou, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale:
Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems. 97-106 - Shreyas Ramakrishna, Baiting Luo, Yogesh D. Barve, Gabor Karsai, Abhishek Dubey:
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems. 107-116 - Hedin Beattie, Lanier A. Watkins, William H. Robinson, Aviel D. Rubin, Shari Watkins:
Measuring and Mitigating Bias in AI-Chatbots. 117-123 - Nathaniel G. Gordon, Gregory Falco:
Reference architectures for autonomous on-orbit servicing, assembly and manufacturing (OSAM) mission resilience. 124-128 - Martin S. Feather:
Hallmarks of an Autonomous Space System's Development and V&V. 129-136
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