Abstract is missing.
- IFBiD: Inference-Free Bias DetectionIgnacio Serna, Daniel DeAlcala, Aythami Morales Moreno, Julian Fiérrez, Javier Ortega-Garcia. [doi]
- Reinforcement Learning With Imperfect Safety ConstraintsJin Woo Ro, Gerald Lüttgen, Diedrich Wolter. [doi]
- The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application SystemsSheila Alemany, Niki Pissinou. [doi]
- The wall of safety for AI: approaches in the Confiance.ai programBertrand Braunschweig, Rodolphe Gelin, François Terrier. [doi]
- Efficient Adversarial Sequence Generation for RNN with Symbolic Weighted Finite AutomataMingjun Ma, Dehui Du, Yuanhao Liu, Yanyun Wang, Yiyang Li. [doi]
- Maximum Likelihood Uncertainty Estimation: Robustness to OutliersDeebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Méndez. [doi]
- Oases of Cooperation: An Empirical Evaluation of Reinforcement Learning in the Iterated Prisoner's DilemmaPeter Barnett, John Burden. [doi]
- EnnCore: End-to-End Conceptual Guarding of Neural ArchitecturesEdoardo Manino, Danilo Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa Mustafa, André Freitas, Gavin Brown, Mikel Lujan, Xiaowei Huang 0001, Lucas C. Cordeiro. [doi]
- Quantifying the Importance of Latent Features in Neural NetworksAmany Alshareef, Nicolas Berthier, Sven Schewe, Xiaowei Huang. [doi]
- Blackbox Post-Processing for Multiclass FairnessPreston Putzel, Scott Lee. [doi]
- Comparing Vision Transformers and Convolutional Nets for Safety Critical SystemsMichal Filipiuk, Vasu Singh. [doi]
- Interpretable Local Tree Surrogate PoliciesJohn Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer. [doi]
- Combining Data-Driven and Knowledge-Based AI Paradigms for Engineering AI-Based Safety-Critical SystemsJuliette Mattioli, Gabriel Pedroza, Souhaiel Khalfaoui, Bertrand Leroy. [doi]
- A Practical Overview of Safety Concerns and Mitigation Methods for Visual Deep Learning AlgorithmsSaeed Bakhshi Germi, Esa Rahtu. [doi]
- A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI ModelsPascal Gerber, Lisa Jöckel, Michael Kläs. [doi]
- A Gray Box Model for Characterizing Driver BehaviorSoyeon Jung, Ransalu Senanayake, Mykel Kochenderfer. [doi]
- Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert DemonstrationsLeopold Müller, Lars Böcking, Michael Färber 0001. [doi]
- The Problem of Behaviour and Preference Manipulation in AI SystemsHal Ashton, Matija Franklin. [doi]
- Beyond Test Accuracy: The Effects of Model Compression on CNNsAdrian Schwaiger, Kristian Schwienbacher, Karsten Roscher. [doi]
- A Game-Theoretic Perspective on Risk-Sensitive Reinforcement LearningMathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand. [doi]
- Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous SystemsAnn-Katrin Reuel, Mark Koren, Anthony Corso, Mykel J. Kochenderfer. [doi]
- Human-in-the-loop Learning for Safe Exploration through Anomaly Prediction and InterventionPrajit T. Rajendran, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha. [doi]
- Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network WatermarkingFangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew. [doi]
- Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding SpacePoulami Sinhamahapatra, Rajat Koner, Karsten Roscher, Stephan Günnemann. [doi]
- Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent ShieldingPeter He, Borja G. León, Francesco Belardinelli. [doi]
- Defining and Identifying the Legal Culpability of Side Effects using Causal GraphsHal Ashton. [doi]
- HiSaRL: A Hierarchical Framework for Safe Reinforcement LearningZikang Xiong, Ishika Agarwal, Suresh Jagannathan. [doi]