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FOUNDATIONS FOR CONTINUOUS ENGINEERING OF TRUSTWORTHY AUTONOMY

Resultado final

Report: Systematic and coverage-driven testing of learning components

Report Systematic and coveragedriven testing of learning components ULIV

Report: Formal verification of learning components

Report Formal verification of learning components ULIV

Report: Provable safe reinforcement learning

Report Provable safe reinforcement learning TUG

Formal specification for learning-enabled autonomous systems

Formal specification for learningenabled autonomous systems BIU

Report: AI-enabled systematic and intelligent testing of autonomous systems

Report AIenabled systematic and intelligent testing of autonomous systems BIU

Report: Early validation result WP4

Report Early validation result WP4 TUG

"Report on workshop #1 organisation"

Report on workshop 1 organisation UGA

Report: Understanding decision faithfulness of machine learning components

Report Understanding decision faithfulness of machine learning components DNDE

Report: Early validation result WP3

Report Early validation result WP3 FORTISS

"Report on workshop #2 organisation"

Report on workshop 2 organisation UGA

Report: Runtime enforcement for performance while guaranteeing safety

Report Runtime enforcement for performance while guaranteeing safety TUG

Dissemination Action Plan including project corporate identity

Dissemination Action Plan including project corporate identity UGA

Report on public demonstration

Report on public demonstration SIEMENS

Standardisation final report

Standardisation final report INTEL

Dissemination Action Plan including project corporate identity update

Dissemination Action Plan including project corporate identity update UGA

Report: Systematic refinement

Report Systematic refinement BIU

Tool and manual: integrated evidential tool chain for the incremental and continuous generation of safety & security assurance cases

Tool and manual: integrated evidential tool chain for the incremental and continuous generation of safety & security assurance cases (FORTISS)

Project newsletter 1

Project newsletter 1 LUP

Project newsletter 2

Project newsletter 2 (L-UP°

Tool + Manual: Agent building toolkit for performance with safety

Tool + Manual: Agent building toolkit for performance with safety (TUG)

Tool + Manual: Verification and testing of learning-enabled systems

Tool + Manual: Verification and testing of learning-enabled systems (FORTISS)

Project newsletter 3

Project newsletter 3 (L-UP)

Tool + manual: modelling and simulation of autonomy

Tool + manual: modelling and simulation of autonomy (AUTh)

Publicaciones

Online Shielding for Reinforcement Learning

Autores: Bettina Könighofer; Julian Rudolf; Alexander Palmisano; Martin Tappler; Roderick Bloem
Publicado en: Innovations in Systems and Software Engineering, 2022, ISSN 1614-5046
Editor: Springer Verlag
DOI: 10.48550/arxiv.2212.01861

Survey on mining signal temporal logic specifications

Autores: Ezio Bartocci; Cristinel Mateis; Eleonora Nesterini; Dejan Nickovic
Publicado en: Information and Computation journal, Edición 08905401, 2022, ISSN 0890-5401
Editor: Academic Press
DOI: 10.1016/j.ic.2022.104957

Embedding and Extraction of Knowledge in Tree Ensemble Classifiers

Autores: Xingyu Zhao, Xiaowei Huang
Publicado en: Machine Learning journal, 2021, ISSN 1573-0565
Editor: Springer
DOI: 10.1007/s10994-021-06068-6

Hierarchical Distribution-Aware Testing of Deep Learning

Autores: Wei Huang, Xingyu Zhao, ALEC BANKS, VICTORIA COX, Xiaowei Huang
Publicado en: Journal ACM transactions on Software Engineering Methods, 2023, ISSN 1049-331X
Editor: Association for Computing Machinary, Inc.
DOI: 10.48550/arxiv.2205.08589

Semantic Modeling and Analysis of Natural Language System Requirements

Autores: Konstantinos Mokos, Theodoros Nestoridis, Panagiotis Katsaros, Nick Bassiliades
Publicado en: IEEE Access Journal, Edición 21693536, 2022, Página(s) 84094-84119, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3197281

Mining Hyperproperties using Temporal Logic

Autores: Ezio Bartocci, Cristinel Mateis, Eleonora Nesterini, Nickovic, Dejan
Publicado en: ACM Transactions on Embedded Computing Systems, Edición Volume 22, Edición 5, Article No. 156, 2023, Página(s) pp 1–26, ISSN 1539-9087
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3609394

Coverage-Guided Testing for Recurrent Neural Networks

Autores: Wei Huang, Youcheng Sun, Xingyu Zhao, James Sharp, Wenjie Ruan, Jie Meng, Xiaowei Huang
Publicado en: IEEE Transactions on Reliability, 2021, Página(s) 1-16, ISSN 0018-9529
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tr.2021.3080664

Reflections on Surrogate-Assisted Search-Based Testing: A Taxonomy and Two Replication Studies based on Industrial ADAS and Simulink Models

Autores: Shiva Nejati, Lev Sorokin, Damir Safin, Federico Formica, Mohammad Mahdi Mahboob, Claudio Menghi
Publicado en: Information and Software Technology Journal, 2023, Página(s) 107286, ISSN 0950-5849
Editor: Elsevier BV
DOI: 10.1016/j.infsof.2023.107286

The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments

Autores: Kizito Salako; Xingyu Zhao
Publicado en: IEEE Transactions on Software Engineering, Edición 6, 2023, Página(s) 2829 - 2838, ISSN 0098-5589
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2208.00462

Analyzing Intentional Behavior in Autonomous Agents Under Uncertainty

Autores: Filip Cano Córdoba, Samuel Judson, Timos Antonopoulos, Katrine Bjorner, Nicholas Shoemaker, Scott Shapiro, Ruzica Piskac, Bettina Könighofer
Publicado en: Proceedings of the IJCAI 2023 - 32nd International Joint Conference on Artificial Intelligence, 2023, Página(s) 372--381, ISBN 978-1-956792-03-4
Editor: ijcai.org
DOI: 10.24963/ijcai.2023/42

How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks

Autores: Jin, Gaojie; Yi, Xinping; Zhang, Liang; Zhang, Lijun; Schewe, Sven; Huang, Xiaowei
Publicado en: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Edición 1, 2020
Editor: Neural Information Processing Systems

Safe, Deterministic Trajectory Planning for Unstructured and Partially Occluded Environments

Autores: Sebastian vom Dorff, Maximilian Kneissl, Martin Franzle
Publicado en: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, Página(s) 969-975, ISBN 978-1-7281-9142-3
Editor: IEEE
DOI: 10.1109/itsc48978.2021.9565022

Continuous Safety Verification of Neural Networks

Autores: Chih-Hong Cheng, Rongjie Yan
Publicado en: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, Página(s) 1478-1483, ISBN 978-3-9819263-5-4
Editor: IEEE
DOI: 10.23919/date51398.2021.9473994

Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications

Autores: Wenjie Ruan; Xinping Yi; Xiaowei Huang
Publicado en: CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Edición 2021 Proceeding, 2021, ISBN 978-1-4503-8446-9
Editor: ACM
DOI: 10.1145/3459637.3482029

Detecting Operational Adversarial Examples for Reliable Deep Learning

Autores: Zhao, Xingyu; Huang, Wei; Schewe, Sven; Dong, Yi; Huang, Xiaowei; IEEE,
Publicado en: 51ST ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS - SUPPLEMENTAL VOL (DSN 2021), Edición 1, 2021, ISBN 978-1-6654-3566-6
Editor: IEEE
DOI: 10.1109/dsn-s52858.2021.00013

Runtime Verification for FMI-Based Co-simulation

Autores: Anastasios Temperekidis, Nikolaos Kekatos, and Panagiotis Katsaros
Publicado en: Runtime Verification. RV 2022. Lecture Notes in Computer Science, vol 13498, 2022
Editor: Springer, Cham
DOI: 10.1007/978-3-031-17196-3_19

Enhancing Adversarial Training with Second-Order Statistics of Weights

Autores: Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang
Publicado en: CVPR 2022 - 2022 Conference on Computer Vision and Pattern Recognition, 2022
Editor: IEEE

Strategies for MDP Bisimilarity Equivalence and Inequivalence

Autores: Stefan Kiefer, Qiyi Tang
Publicado en: Concur 2022 - 33RD INTERNATIONAL CONFERENCE ON CONCURRENCY THEORY, 2022, Página(s) 32:1--32:22, ISBN 978-3-95977-246-4
Editor: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.4230/lipics.concur.2022.32

Learning from Demonstrations of Critical Driving Behaviours Using Driver’s Risk Field

Autores: Yurui Du, Flavia Sofia Acerbo, Jens Kober, Tong Duy Son
Publicado en: IFAC World Congress 2023, 2023
Editor: Elsevier ScienceDirect
DOI: 10.48550/arxiv.2210.01747

BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations

Autores: Xingyu Zhao, Xiaowei Huang, et. Al.
Publicado en: UAI2021 Proceedings of Machine Learning Research (PMLR), Edición Zhao, X.,Huang, W, Huang, X., Robu, V., and Flynn, D. (2021). BayLime: Bayesian local interpretable model-agnostic explanations. UAI2021., 2021
Editor: AAAI press

Hidden 1-Counter Markov Models and How to Learn Them

Autores: Mehmet Kurucan, Mete Ozbaltan, Sven Schewe, Dominik Wojtczak
Publicado en: IJCAI 2022 - 31st International Joint Conference on Artificial Intelligence, 2022, Página(s) 4857-4863
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2022/673

Mining Specification Parameters for Multi-Class Classification

Autores: Ezio Bartocci, Cristinel Mateis, Eleonora Nesterini, and Dejan Nickovic
Publicado en: Proceedings of RV 2023 - 23rd International Conference, RV 2023, Thessaloniki, Greece, October 3–6, 2023, 2023, ISBN 978-3-031-44266-7
Editor: Springer Nature
DOI: 10.1007/978-3-031-44267-4

Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization

Autores: Neslihan Kose Cihangir, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch
Publicado en: SAIAD 2022 - 4th Workshop Safe Artificial Intelligence for Automated Driving, 2023
Editor: Springer
DOI: 10.48550/arxiv.2212.04812

Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving

Autores: Jean Pierre Allamaa, Petr Listov, Herman Van der Auweraer, Colin Jones, Tong Duy Son
Publicado en: American Control Conference (ACC) 2022, 2021
Editor: IEEE

Attribute Repair for Threat Prevention

Autores: Tarrach Thorsten; Ebrahimi Masoud; König Sandra; Schmittner Christoph; Bloem Roderick; Nickovic Dejan
Publicado en: SafeComp 2023 proceedings, 2023, ISBN 978-3-031-40922-6
Editor: Springer
DOI: 10.1007/978-3-031-40923-3

Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving

Autores: Flavia Sofia Acerbo, Mohsen Alirezaei, Herman Van der Auweraer, Tong Duy Son.
Publicado en: 24th IEEE International Conference on Intelligent Transportation - ITSC2021, 2021
Editor: IEEE

Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin

Autores: Kevin L. Voogd, Jean-Pierre Allamaa, Javier Alonso-Mora, Son Tong
Publicado en: IFAC World Congress 2023, 2023
Editor: Elsevier ScienceDirect
DOI: 10.48550/arxiv.2211.14874

Safety Metrics for Semantic Segmentation in Autonomous Driving

Autores: Chih-Hong Cheng, Alois Knoll, Hsuan-Cheng Liao
Publicado en: 2021 IEEE International Conference on Artificial Intelligence Testing (AITest), 2021, Página(s) 57-64, ISBN 978-1-6654-3481-2
Editor: IEEE
DOI: 10.1109/aitest52744.2021.00021

On Neural Network Equivalence Checking using SMT Solvers

Autores: Charis Eleftheriadis, Nikolaos Kekatos, Panagiotis Katsaros, and Stavros Tripakis
Publicado en: Formal Modeling and Analysis of Timed Systems. FORMATS 2022. Lecture Notes in Computer Science, 2022
Editor: Springer, Cham
DOI: 10.1007/978-3-031-15839-1_14

TEMPEST - Synthesis Tool for Reactive Systems and Shields in Probabilistic Environments

Autores: Stefan Pranger; Bettina Könighofer; Lukas Posch; Roderick Bloem
Publicado en: ATVA 2021, Edición 1, 2021, ISBN 978-3-030-88884-8
Editor: Springer
DOI: 10.1007/978-3-030-88885-5_15

Formal Specification for Learning-Enabled Autonomous Systems

Autores: Saddek Bensalem, Chih-Hong Cheng, Xiaowei Huang, Panagiotis Katsaros, Adam Molin, Dejan Nickovic, Doron Peled
Publicado en: Software Verification and Formal Methods for ML-Enabled Autonomous Systems, Edición [2022], 2022, Página(s) p.131-143, ISBN 978-3-031-21221-5
Editor: Springer
DOI: 10.1007/978-3-031-21222-2_8

Large-Scale Application of Fault Injection into PyTorch Models -- an Extension to PyTorchFI for Validation Efficiency

Autores: Ralf Gräfe, Qutub Syed Sha, Florian Geissler, Michael Paulitsch
Publicado en: 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S). Proceedings of DSN 2023 Industry track, 2023, Página(s) 56 – 62, ISBN 979-8-3503-2545-4
Editor: IEEE
DOI: 10.1109/dsn-s58398.2023.00025

Simulation-based Safety Assurance for an AVP System incorporating Learning-Enabled Components

Autores: Hasan Esen, Brian Hsuan-Cheng Liao
Publicado en: 10th International Symposium on Development Methodology, 2023, ISBN 978-3-9816971-6-2
Editor: AVL Deutschland
DOI: 10.48550/arxiv.2311.03362

Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions

Autores: Chen, Yuhang; Cheng, Chih-Hong; Yan, Jun; Yan, Rongjie
Publicado en: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), 2021
Editor: IEEE

A Low-Cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

Autores: Florian Geissler, Syed Qutub, Michael Paulitsch, and Karthik Pattabiraman
Publicado en: SAFECOMP2023 - 42nd International Conference on Computer Safety, Reliability and Security, 2023, ISBN 978-3-031-40922-6
Editor: Springer
DOI: 10.1007/978-3-031-40923-3_7

Provably-Robust Runtime Monitoring of Neuron Activation Patterns

Autores: Chih-Hong Cheng
Publicado en: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, Página(s) 1310-1313, ISBN 978-3-9819263-5-4
Editor: IEEE
DOI: 10.23919/date51398.2021.9473957

Safety and reliability of deep learning - (brief overview)

Autores: Xiaowei Huang
Publicado en: Proceedings of the 1st International Workshop on Verification of Autonomous & Robotic Systems, 2021, Página(s) 1-2, ISBN 9781450384445
Editor: ACM
DOI: 10.1145/3459086.3459636

Model-Free Reinforcement Learning for Lexicographic ω-Regular Objectives

Autores: Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, and Dominik Wojtczak
Publicado en: 24th International Symposium, FM 2021, 2021, ISBN 978-3-030-90870-6
Editor: Springer, Cham
DOI: 10.1007/978-3-030-90870-6_8

Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults

Autores: Ali Asgari Khoshouyeh, Florian Geissler, Seyed Qutub, Michael Paulitsch, Prashant Nair, Karthik Pattabiraman
Publicado en: SC 23 - The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2023, ISBN 979-8-4007-0109-2
Editor: ACM Association for Computing Machinery, New York, NY, United States
DOI: 10.1145/3581784.3607084

Testing Autonomous Systems with Believed Equivalence Refinement

Autores: Chih-Hong Cheng, Rongjie Yan
Publicado en: 2021 IEEE International Conference on Artificial Intelligence Testing (AITest), 2021, Página(s) 49-56, ISBN 978-1-6654-3481-2
Editor: IEEE
DOI: 10.1109/aitest52744.2021.00020

Assessing the reliability of deep learning classifiers through robustness evaluation and operational profiles

Autores: Zhao, X., Huang, W., Banks, A., Cox, V., Flynn, D., Schewe, S., and Huang, X.
Publicado en: AISafety’21 Workshop at IJCAI’21, 2021
Editor: CEUR

Information-flow Interfaces

Autores: Ezio Bartocci, Thomas Ferrère, Thomas A. Henzinger, Dejan Nickovic & Ana Oliveira da Costa
Publicado en: Fundamental Approaches to Software Engineering. FASE 2022. Lecture Notes in Computer Science, vol 13241., 2022, ISBN 978-3-030-99428-0
Editor: Springer, Cham
DOI: 10.1007/978-3-030-99429-7_1

Formal XAI via Syntax-Guided Synthesis

Autores: Bjørner, Katrine; Judson, Samuel; Cano, Filip; Goldman, Drew; Shoemaker, Nick; Piskac, Ruzica; Könighofer, Bettina
Publicado en: AISoLA 2023 proceedings, 2023, ISBN 978-3-031-46002-9
Editor: Springer Cham
DOI: 10.5281/zenodo.8382832

Search-Based Testing of Reinforcement Learning

Autores: Martin Tappler, Filip Cano Cordoba, Bernhard Aichernig, Bettina Könighofer
Publicado en: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI 2022) Main Track., Edición Thirty-First Conference, 23-29 July 2022, 2022, Página(s) 503-510, ISBN 978-1-956792-00-3
Editor: ijcai.org
DOI: 10.24963/ijcai.2022/72

A Hierarchical HAZOP-Like Safety Analysis for Learning-Enable Systems

Autores: Yi Qi, Philippa Ryan, Wei Huang, Xingyu Zhao and Xiaowei Huang
Publicado en: AISafety 2022 workshop at IJCAI2022, 2022
Editor: CEUR Workshop Proceedings
DOI: 10.48550/arxiv.2206.10216

Safety Shielding under Delayed Observation

Autores: Filip Cano, Alexander Palmisano, Martin Fraenzle, Roderick Bloem and Bettina Koenighofer
Publicado en: ICAPS 2023 - 33rd International Conference on Automated Planning and Scheduling, 2023, ISSN 2334-0843
Editor: AAAI Press.
DOI: 10.1609/icaps.v33i1.27181

Provable Correct and Adaptive Simplex Architecture for Bounded-Liveness Properties

Autores: Maderbacher, B., Schupp, S., Bartocci, E., Bloem, R., Ničković, D. and Könighofer, B.
Publicado en: SPIN'23 proceedings, 2023, ISBN 978-3-031-32157-3
Editor: Springer Cham
DOI: 10.1007/978-3-031-32157-3_8

Towards a Digital Twin Architecture with Formal Analysis Capabilities for Learning-Enabled Autonomous Systems

Autores: Anastasios Temperekidis, Nikolaos Kekatos, Panagiotis Katsaros, Weicheng He, Saddek Bensalem, Hisham AbdElSabour, Mohamed AbdElsalam, Ashraf Salem
Publicado en: MESAS 2022 - 9th International Conference on Modelling and Simulation for Autonomous Systems, Edición 2022 Proceedings, 2023, Página(s) 163-181
Editor: Springer Cham
DOI: 10.1007/978-3-031-31268-7_10

Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs

Autores: Syed Qutub, Florian Geissler, Yang Peng, Ralf Gräfe, Michael Paulitsch, Gereon Hinz, and Alois Knoll
Publicado en: Safecomp 2022, Edición 41st, 2022, Página(s) 298-318, ISBN 978-3-031-14835-4
Editor: Springer
DOI: 10.1007/978-3-031-14835-4_20

DeepSTL - From English Requirements to Signal Temporal Logic

Autores: Jie He, Ezio Bartocci, Dejan Nickovic and Radu Grosu
Publicado en: ICSE '22: Proceedings of the 44th International Conference on Software Engineering, 2022, Página(s) 610–622
Editor: ACM Digital Library
DOI: 10.1145/3510003.3510171

Mining Shape Expressions with ShapeIt

Autores: Ezio Bartocci, Jyotirmoy Deshmukh, Cristinel Mateis, Eleonora Nesterini, Dejan Nickovic, and Xin Qin
Publicado en: 19th International Conference on Software Engineering and Formal Methods (SEFM'21), 2021
Editor: Springer
DOI: 10.5281/zenodo.5597000

Sampling of Shape Expressions with ShapEx

Autores: Nicolas Basset; Thao Dang; Felix Gigler; Cristinel Mateis; Dejan Nickovic
Publicado en: ACM Digital Library, 2021
Editor: ACM
DOI: 10.5281/zenodo.5550069

EPMC Gets Knowledge in Multi-Agent Systems

Autores: Chen Fu, Ernst Moritz Hahn, Yong Li, Sven Schewe, Meng Sun, Andrea Turrini, and Lijun Zhang
Publicado en: VMCAI 2022 - 23rd International Conference on Verification, Model Checking, and Abstract Interpretation, Edición volume 13182, 2022, Página(s) pages: 93-107, ISBN 978-3-030-94583-1
Editor: Springer
DOI: 10.1007/978-3-030-94583-1_5

Are Transformers More Robust? Towards Exact Robustness Verification for Transformers

Autores: Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen, Alois Knoll
Publicado en: SafeComp 2023 proceedings, Edición vol 14181, 2023, ISBN 978-3-031-40922-6
Editor: Springer, Cham
DOI: 10.1007/978-3-031-40923-3_8

Automata Learning meets Shielding

Autores: Martin Tappler, Stefan Pranger, Bettina K¨onighofer, Edi Muˇskardin, Roderick Bloem, and Kim Larsen
Publicado en: ISoLA 2022 - 11th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation Principles, 2022, Página(s) pp 335–359
Editor: Springer
DOI: 10.48550/arxiv.2212.01838

Robustness Verification for Attention Networks using Mixed Integer Programming

Autores: Hsuan-Cheng Liao, Chih-Hong Cheng, Maximilian Kneissl, Alois Knoll
Publicado en: 2022
Editor: Arxiv
DOI: 10.48550/arxiv.2202.03932

OpenSBT: A Modular Framework for Search-based Testing of Automated Driving Systems

Autores: Lev Sorokin, Tiziano Munaro, Damir Safin, Brian Hsuan-Cheng Liao, Adam Molin
Publicado en: Arxiv, 2023
Editor: Arxiv
DOI: 10.48550/arxiv.2306.10296

Virtual Reality Assisted Human Perception in ADAS Development: a Munich 3D Model Study

Autores: Felix Bognar, Oster Markus, Herman Van der Auweraer, Tong Duy Son
Publicado en: 2022
Editor: Arxiv
DOI: 10.48550/arxiv.2208.07208

Adversarial Robustness Improvement for Deep Neural Networks

Autores: Charis Eleftheriadis, Andreas Symeonidis, and Panagiotis Katsaros
Publicado en: Preprint accepted with revision in Machine Vision and Applications, 2023
Editor: Springer
DOI: 10.21203/rs.3.rs-3351648/v1

Improving the Safety of 3D Object Detectors in Autonomous Driving using IoGT and Distance Measures

Autores: Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen, Alois Knoll
Publicado en: 2023
Editor: Arxiv
DOI: 10.48550/arxiv.2209.10368

Towards Trustworthy Camera-Based Sensing and Perception Systems

Autores: Christian Berghoff, Jona Böddinghaus, Vasilios Danos, Gabrielle Davelaar, Thomas Doms, Heiko Ehrich, Alexandru Forrai, Radu Grosu, Ronan Hamon, Henrik Junklewitz, Matthias Neu, Simon Romanski, Wojciech Samek, Dirk Schlesinger, Jan-Eve Stavesand, Sebastian Steinbach, Arndt von Twickel, Robert Walter, Johannes Weissenböck, Markus Wenzel, Thomas Wiegand
Publicado en: Whitepaper | May 2022. Towards Auditable AI Systems. From Principles to Practice. Based on the 2nd international Workshop “Towards Auditable AI Systems”, October 26th 2021, Fraunhofer Forum Digitale Technologien, Berlin, organized by the Federal Office for Information Security Germany, the TÜV-Verband and the Fraunhofer HHI, 2022
Editor: Bundesamt für Sicherheit in der Informationstechnik, Fraunhofer-Institut für Nachrichtentechnik, TÜV-Verband e. V.

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems

Autores: Dong, Yi; Zhao, Xingyu; Huang, Xiaowei
Publicado en: Edición 2, 2021
Editor: ArXiv
DOI: 10.48550/arxiv.2109.06523

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation

Autores: Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, Andre Freitas, Mustafa A. Mustafa
Publicado en: 2023
Editor: Arxiv
DOI: 10.48550/arxiv.2305.11391

Deciding What is Good-for-MDPs

Autores: Sven Schewe, Qiyi Tang and Tansholpan Zhanabekova
Publicado en: 2022
Editor: Arxiv
DOI: 10.48550/arxiv.2202.07629

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