Abstract is missing.
- Safety Augmentation in Decision TreesSumanta Dey, Pallab Dasgupta, Briti Gangopadhyay. [doi]
- Safety of Artificial Intelligence: A Collaborative ModelJohn McDermid, Yan Jia. [doi]
- Robustness as Inherent Property of DatapointsCatalin-Andrei Ilie, Marius Popescu, Alin Stefanescu. [doi]
- Ethically Compliant Planning in Moral Autonomous SystemsJustin Svegliato, Samer Nashed, Shlomo Zilberstein. [doi]
- Increasing the Trustworthiness of Deep Neural Networks via Accuracy MonitoringZhihui Shao, Jianyi Yang, Shaolei Ren. [doi]
- Choice Set Misspecification in Reward InferenceRachel Freedman, Rohin Shah, Anca D. Dragan. [doi]
- Aligning with Heterogenous Preferences for Kidney ExchangeRachel Freedman. [doi]
- Extracting Money from Causal Decision TheoristsCaspar Oesterheld, Vincent Conitzer. [doi]
- Bayesian Model for Trustworthiness Analysis of Deep Learning ClassifiersAndrey Morozov, Emil Valiev, Michael Beyer, Kai Ding, Lydia Gauerhof, Christoph Schorn. [doi]
- A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle ApplicationsFabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier. [doi]
- Evolving Robust Neural Architectures to Defend from Adversarial AttacksShashank Kotyan, Danilo Vasconcellos Vargas. [doi]
- Error-Silenced Quantization: Bridging Robustness and CompactnessZhicong Tang, Yinpeng Dong, Hang Su 0006. [doi]
- Understanding the One Pixel Attack: Propagation Maps and Locality AnalysisDanilo Vasconcellos Vargas, Jiawei Su. [doi]
- Towards Safe and Reliable Robot Task PlanningSnehasis Banerjee. [doi]
- DeepSmartFuzzer: Reward Guided Test Generation For Deep LearningSamet Demir, Hasan Ferit Eniser, Alper Sen 0001. [doi]
- Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection?Adrian Schwaiger, Poulami Sinhamahapatra, Jens Gansloser, Karsten Roscher. [doi]