A curated, ever evolving, reading list relevant for the AST group at fortiss/TUM.
Papers about deep learning/machine learning testing.
- DeepXplore: Automated Whitebox Testing of Deep Learning Systems
- DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
- DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
- Model-based exploration of the frontier of behaviours for deep learning system testing - DeepJanus's paper
- DeepHyperion: Exploring the Feature Space of DeepLearning-Based Systems through Illumination Search
- When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
- Deep Learning System Boundary Testing through Latent Space Style Mixing - related to the topic of DeepJanus's paper
Mutation Testing
- An empirical evaluation of mutation operators for deep learning systems
- DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults
- DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
- Taxonomy of Real Faults in Deep Learning Systems
- Testing machine learning based systems: a systematic mapping
Papers about autonomous driving systems testing.
- DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
- DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing
- Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
- Causality-driven Testing of Autonomous Driving Systems
- Human-AI joint task performance: Learning from uncertainty in autonomous driving systems
- Quality Metrics and Oracles for Autonomous Vehicles Testing
- Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models
- Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing
- Misbehaviour Forecasting for Focused Autonomous Driving Systems Testing
- Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
- Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
- Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving
Offline vs Online Testing
- On Offline Evaluation of Vision-based Driving Models
- Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
- Model vs System Level Testing of Autonomous Driving Systems: A Replication and Extension Study
Runtime Monitoring
- Misbehaviour Prediction for Autonomous Driving Systems
- Confidence-driven Weighted Retraining for Predicting Safety-Critical Failures in Autonomous Driving Systems
- ThirdEye: Attention Maps for Safe Autonomous Driving Systems
- Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
- System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
- A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
- A Survey on Automated Driving System Testing: Landscapes and Trends
- End-to-end Autonomous Driving: Challenges and Frontiers
- From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
- Towards Knowledge-driven Autonomous Driving
- Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
- Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving
Papers about web testing.
Papers about search-based testing.