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ORCIDAISafety@IJCAI 2020: Online Event / Yokohama, Japan
- Huáscar Espinoza, John A. McDermid, Xiaowei Huang, Mauricio Castillo-Effen, Xin Cynthia Chen, José Hernández-Orallo, Seán Ó hÉigeartaigh, Richard Mallah:
Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, January, 2021. CEUR Workshop Proceedings 2640, CEUR-WS.org 2020
Session 1: Adversarial Machine Learning
- Danilo Vasconcellos Vargas, Jiawei Su:
Understanding the One Pixel Attack: Propagation Maps and Locality Analysis. - Zhicong Tang, Yinpeng Dong, Hang Su:
Error-Silenced Quantization: Bridging Robustness and Compactness. - Shashank Kotyan, Danilo Vasconcellos Vargas:
Evolving Robust Neural Architectures to Defend from Adversarial Attacks.
Session 2: AI Safety Landscape
- John A. McDermid, Yan Jia:
Safety of Artificial Intelligence: A Collaborative Model.
Session 3: Safe and Value-Aligned Learning in Decision Making
- Rachel Freedman, Rohin Shah, Anca D. Dragan:
Choice Set Misspecification in Reward Inference. - Sumanta Dey, Pallab Dasgupta, Briti Gangopadhyay:
Safety Augmentation in Decision Trees. - Rachel Freedman:
Aligning with Heterogenous Preferences for Kidney Exchange.
Session 4: DNN Testing and Runtime Monitoring
- Adrian Schwaiger, Poulami Sinhamahapatra, Jens Gansloser, Karsten Roscher:
Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection? - Samet Demir, Hasan Ferit Eniser, Alper Sen:
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning. - Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications. - Zhihui Shao, Jianyi Yang, Shaolei Ren:
Increasing the Trustworthiness of Deep Neural Networks via Accuracy Monitoring.
Poster Papers
- Catalin-Andrei Ilie, Marius Popescu, Alin Stefanescu:
Robustness as Inherent Property of Datapoints. - Snehasis Banerjee:
Towards Safe and Reliable Robot Task Planning. - Caspar Oesterheld, Vincent Conitzer:
Extracting Money from Causal Decision Theorists. - Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Planning in Moral Autonomous Systems. - Andrey Morozov, Emil Valiev, Michael Beyer, Kai Ding, Lydia Gauerhof, Christoph Schorn:
Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers.
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