Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI
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A Min Tjoa | Edgar R. Weippl | Peter Kieseberg | Andreas Holzinger | E. Weippl | A. Tjoa | A. Holzinger | Peter Kieseberg
[1] Chain of Custody and the Handling of Real Evidence , 1983 .
[2] S. Al-Athel,et al. Report of the World Commission on Environment and Development: "Our Common Future" , 1987 .
[3] Tom Fawcett,et al. Combining Data Mining and Machine Learning for Effective User Profiling , 1996, KDD.
[4] Dan Boneh,et al. Collusion-Secure Fingerprinting for Digital Data , 1998, IEEE Trans. Inf. Theory.
[5] Claudio Gentile,et al. Adaptive and Self-Confident On-Line Learning Algorithms , 2000, J. Comput. Syst. Sci..
[6] G. Ginsburg,et al. The path to personalized medicine. , 2002, Current opinion in chemical biology.
[7] A. Leiserowitz,et al. What is Sustainable Development? Goals, Indicators, Values, and Practice , 2005 .
[8] Andrian Marcus,et al. Data Cleansing: A Prelude to Knowledge Discovery , 2005, Data Mining and Knowledge Discovery Handbook.
[9] Saeed V. Vaseghi,et al. Advanced Digital Signal Processing and Noise Reduction , 2006 .
[10] Hubert Hasenauer,et al. Sustainable forest management : growth models for Europe , 2006 .
[11] H. Hasenauer. Sustainable Forest Management , 2006 .
[12] Keith M. Reynolds,et al. Computer Applications in Sustainable Forest Management , 2006 .
[13] Andreas Holzinger,et al. Some Aspects of the Development of Low-Cost Augmented Reality Learning Environments as Examples for Future Interfaces in Technology Enhanced Learning , 2007, HCI.
[14] F. Collins,et al. The path to personalized medicine. , 2010, The New England journal of medicine.
[15] Sebastian Thrun,et al. Towards fully autonomous driving: Systems and algorithms , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[16] Hareton K. N. Leung,et al. A survey of combinatorial testing , 2011, CSUR.
[17] J. Doug Tygar,et al. Adversarial machine learning , 2019, AISec '11.
[18] Markus Freitag,et al. GovWILD: integrating open government data for transparency , 2012, WWW.
[19] P. Schlosser,et al. Earth science for sustainability , 2012 .
[20] Rui Chen,et al. Promise of personalized omics to precision medicine , 2013, Wiley interdisciplinary reviews. Systems biology and medicine.
[21] Andreas Holzinger,et al. Trends in Interactive Knowledge Discovery for Personalized Medicine: Cognitive Science meets Machine Learning , 2014, IEEE Intell. Informatics Bull..
[22] Edgar R. Weippl,et al. Protecting Anonymity in Data-Driven Biomedical Science , 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.
[23] Edgar R. Weippl,et al. An algorithm for collusion-resistant anonymization and fingerprinting of sensitive microdata , 2014, Electron. Mark..
[24] Matthieu Geist,et al. Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment , 2015, BIRS-IMLKE.
[25] Edgar R. Weippl,et al. Witnesses for the Doctor in the Loop , 2015, BIH.
[26] Robert J. Wood,et al. Science, technology and the future of small autonomous drones , 2015, Nature.
[27] Martina Ziefle,et al. From Smart Health to Smart Hospitals , 2015, Smart Health.
[28] Jessica Koehler,et al. Advanced Digital Signal Processing And Noise Reduction , 2016 .
[29] Andreas Holzinger,et al. Interactive machine learning for health informatics: when do we need the human-in-the-loop? , 2016, Brain Informatics.
[30] M. Leach,et al. Integration: the key to implementing the Sustainable Development Goals , 2016, Sustainability Science.
[31] Edgar R. Weippl,et al. Trust for the "Doctor in the Loop" , 2016, ERCIM News.
[32] Chris Reed,et al. Responsibility, Autonomy and Accountability: Legal Liability for Machine Learning , 2016 .
[33] Andreas Holzinger,et al. DO NOT DISTURB? Classifier Behavior on Perturbed Datasets , 2017, CD-MAKE.
[34] Andreas Holzinger,et al. Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology , 2017, ArXiv.
[35] S. Wolfert,et al. Big Data in Smart Farming – A review , 2017 .
[36] Hui Xiong,et al. A Proactive Workflow Model for Healthcare Operation and Management , 2017, IEEE Transactions on Knowledge and Data Engineering.
[37] Aaron Shapiro,et al. Reform predictive policing , 2017, Nature.
[38] Martin Bichler,et al. Robotic Process Automation , 2018, Bus. Inf. Syst. Eng..
[39] Igor Linkov,et al. Fundamental Concepts of Cyber Resilience: Introduction and Overview , 2018, Cyber Resilience of Systems and Networks.
[40] Freddy Lécué,et al. Explainable AI: The New 42? , 2018, CD-MAKE.
[41] Cristian Borcea,et al. Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform , 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).
[42] Andreas Holzinger,et al. Can we Trust Machine Learning Results? Artificial Intelligence in Safety-Critical Decision Support , 2018, ERCIM News.
[43] Christof Ebert,et al. Digital Transformation , 2018, IEEE Software.
[44] Huashan Chen,et al. Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth , 2018, IEEE Transactions on Information Forensics and Security.
[45] M. Abràmoff,et al. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices , 2018, npj Digital Medicine.
[46] P. Jeffrey Brantingham,et al. Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled Trial , 2018 .
[47] Peter Kieseberg,et al. Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten , 2017, Comput. Law Secur. Rev..
[48] Edgar R. Weippl,et al. Security Challenges in Cyber-Physical Production Systems , 2018, SWQD.
[49] W. Price,et al. Potential Liability for Physicians Using Artificial Intelligence. , 2019, JAMA.
[50] Gunter Saake,et al. Data Quality Measures and Data Cleansing for Research Information Systems , 2019, ArXiv.
[51] Zhongfu Ye,et al. A novel application of fireworks heuristic paradigms for reliable treatment of nonlinear active noise control , 2019, Applied Acoustics.
[52] Pete Smith,et al. Sustainability in global agriculture driven by organic farming , 2019, Nature Sustainability.
[53] Carlo Ghezzi,et al. Modelling and Analysing Resilient Cyber-Physical Systems , 2019, 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS).
[54] Jian-hua Li,et al. Cyber security meets artificial intelligence: a survey , 2018, Frontiers of Information Technology & Electronic Engineering.
[55] Rebecca J Bartlett Ellis,et al. Building the case for actionable ethics in digital health research supported by artificial intelligence , 2019, BMC Medicine.
[56] Siddharth Garg,et al. BadNets: Evaluating Backdooring Attacks on Deep Neural Networks , 2019, IEEE Access.
[57] Claude A. Garcia,et al. The global tree restoration potential , 2019, Science.
[58] Graham Neubig,et al. Weight Poisoning Attacks on Pretrained Models , 2020, ACL.
[59] Suzanna Sobhy ElMassah,et al. Digital transformation and localizing the Sustainable Development Goals (SDGs) , 2020 .
[60] Simon Tjoa,et al. Penetration Testing Artificial Intelligence , 2020, ERCIM News.
[61] M. Zeppelzauer,et al. Machine unlearning: linear filtration for logit-based classifiers , 2020, Machine Learning.
[62] F. Richard Yu,et al. Blockchain-Enabled Cross-Domain Object Detection for Autonomous Driving: A Model Sharing Approach , 2020, IEEE Internet of Things Journal.
[63] Max Tegmark,et al. The role of artificial intelligence in achieving the Sustainable Development Goals , 2019, Nature Communications.
[64] Kevin B. Johnson,et al. Precision Medicine, AI, and the Future of Personalized Health Care , 2020, Clinical and translational science.
[65] Assunta Di Vaio,et al. Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review , 2020 .
[66] Andreas Holzinger,et al. The European Legal Framework for Medical AI , 2020, CD-MAKE.
[67] Hao Chen,et al. Practical No-box Adversarial Attacks against DNNs , 2020, NeurIPS.
[68] Abbas Rajabifard,et al. Systematic prioritisation of SDGs: Machine learning approach , 2020 .
[69] Yang Zhang,et al. Dynamic Backdoor Attacks Against Machine Learning Models , 2020, 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P).
[70] Sameep Mehta,et al. Overview and Importance of Data Quality for Machine Learning Tasks , 2020, KDD.
[71] S. Larsson,et al. Transparency in artificial intelligence , 2020, Internet Policy Rev..
[72] Ceren Budak,et al. Higher Ground? How Groundtruth Labeling Impacts Our Understanding of Fake News about the 2016 U.S. Presidential Nominees , 2020, ICWSM.
[73] Kristina Lerman,et al. A Survey on Bias and Fairness in Machine Learning , 2019, ACM Comput. Surv..
[74] Jeannette M. Wing. Trustworthy AI , 2020, Commun. ACM.
[75] Naiyu Wang,et al. A Secure and Privacy-Preserving Machine Learning Model Sharing Scheme for Edge-Enabled IoT , 2021, IEEE Access.
[76] Thijs Broekhuizen,et al. Digital transformation: A multidisciplinary reflection and research agenda , 2021, Journal of Business Research.
[77] David Tang. WHAT IS DIGITAL TRANSFORMATION? , 2021 .
[78] Evert-Ben van Veen,et al. The Ten Commandments of Ethical Medical AI , 2021, Computer.
[79] Augmented Intelligent Distributed Sensing System Model for Precision Agriculture , 2021, 2021 Telecoms Conference (ConfTELE).
[80] Anna Saranti,et al. Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI , 2021, Inf. Fusion.
[81] Zixuan Qiu,et al. Unmanned aerial vehicle and artificial intelligence revolutionizing efficient and precision sustainable forest management , 2021, Journal of Cleaner Production.