default search action
AISafety@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.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-19 22:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: