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Peter Kieseberg
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Explainable AI: the new 42?
R Goebel, A Chander, K Holzinger, F Lecue, Z Akata, S Stumpf, ...
Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8 …, 2018
3792018
QR code security
P Kieseberg, M Leithner, M Mulazzani, L Munroe, S Schrittwieser, ...
Proceedings of the 8th International Conference on Advances in Mobile …, 2010
2582010
Current advances, trends and challenges of machine learning and knowledge extraction: from machine learning to explainable AI
A Holzinger, P Kieseberg, E Weippl, AM Tjoa
Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8 …, 2018
2532018
Humans Forget, Machines Remember: Artificial Intelligence and the Right to Be Forgotten
E Fosch Villaronga, P Kieseberg, T Li
Computer Law & Security Review, 2017
185*2017
Guess who is texting you? evaluating the security of smartphone messaging applications
S Schrittwieser, P Frühwirt, P Kieseberg, M Leithner, M Mulazzani, ...
1542012
Explainable artificial intelligence: Concepts, applications, research challenges and visions
L Longo, R Goebel, F Lecue, P Kieseberg, A Holzinger
International cross-domain conference for machine learning and knowledge …, 2020
1462020
QR code security: A survey of attacks and challenges for usable security
K Krombholz, P Frühwirt, P Kieseberg, I Kapsalis, M Huber, E Weippl
Human Aspects of Information Security, Privacy, and Trust: Second …, 2014
1302014
Towards the augmented pathologist: Challenges of explainable-ai in digital pathology
A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ...
arXiv preprint arXiv:1712.06657, 2017
882017
Data confidentiality using fragmentation in cloud computing
A Hudic, S Islam, P Kieseberg, S Rennert, ER Weippl
International Journal of Pervasive Computing and Communications 9 (1), 37-51, 2013
662013
Digital transformation for sustainable development goals (sdgs)-a security, safety and privacy perspective on ai
A Holzinger, E Weippl, AM Tjoa, P Kieseberg
International cross-domain conference for machine learning and knowledge …, 2021
622021
Innodb database forensics: Reconstructing data manipulation queries from redo logs
P Frühwirt, P Kieseberg, S Schrittwieser, M Huber, E Weippl
2012 Seventh International Conference on Availability, Reliability and …, 2012
552012
The right to be forgotten: towards machine learning on perturbed knowledge bases
B Malle, P Kieseberg, E Weippl, A Holzinger
Availability, Reliability, and Security in Information Systems: IFIP WG 8.4 …, 2016
502016
Machine learning and knowledge extraction in digital pathology needs an integrative approach
A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ...
Towards Integrative Machine Learning and Knowledge Extraction, 13-50, 2017
432017
On reconnaissance with IPv6: a pattern-based scanning approach
J Ullrich, P Kieseberg, K Krombholz, E Weippl
2015 10th International Conference on Availability, Reliability and Security …, 2015
422015
A tamper-proof audit and control system for the doctor in the loop
P Kieseberg, B Malle, P Frühwirt, E Weippl, A Holzinger
Brain Informatics 3, 269-279, 2016
402016
Can we trust Machine Learning Results? Artificial Intelligence in Safety-Critical decision Support
K Holzinger, K Mak, P Kieseberg, A Holzinger
ERCIM NEWS, 42-43, 2018
392018
Trust for the doctor-in-the-loop
P Kieseberg, E Weippl, A Holzinger
ERCIM news 104 (1), 32-33, 2016
38*2016
Towards a forensic-aware database solution: Using a secured database replication protocol and transaction management for digital investigations
P Frühwirt, P Kieseberg, K Krombholz, E Weippl
Digital Investigation 11 (4), 336-348, 2014
382014
InnoDB database forensics: Enhanced reconstruction of data manipulation queries from redo logs
P Frühwirt, P Kieseberg, S Schrittwieser, M Huber, E Weippl
Information Security Technical Report 17 (4), 227-238, 2013
382013
Comparing blockchain standards and recommendations
L König, Y Korobeinikova, S Tjoa, P Kieseberg
Future Internet 12 (12), 222, 2020
372020
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Artikelen 1–20