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Zoltán Ádám Mann

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affiliation: Halle-Wittenberg University, Germany
affiliation (former): University of Amsterdam, The Netherlands
affiliation (former): University of Duisburg-Essen, Ruhr Institute for Software Technology, Essen, Germany
affiliation (former): Budapest University of Technology and Economics, Department of Control Engineering and Information Technology, Hungary

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2025
[j42]
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Romke van Dijk, Judith van de Wetering, Ranieri Argentini, Leonie Gorka, Anne Fleur van Luenen, Sieds Minnema, Edwin Rijgersberg, Mattijs Ugen, Zoltán Ádám Mann, Zeno Geradts:
PaSSw0rdVib3s!: AI-assisted password recognition for digital forensic investigations. Digit. Investig. 52(Supplement): 301870 (2025)
[j41]
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Ella Peltonen, Suzan Bayhan, David Bermbach, Sebastian Buschjäger, Victoria Degeler, Aaron Yi Ding, Özlem Durmaz Incel, Dewant Katare, Mikkel Baun Kjærgaard, Sam Leroux, Toktam Mahmoodi, Zoltán Ádám Mann, Nirvana Meratnia, Andy D. Pimentel, Jan S. Rellermeyer, Etienne Rivière, Dolly Sapra, Gürkan Solmaz, Bram van der Waaij:
Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. IEEE Internet Comput. 29(2): 8-18 (2025)
2024
[j40]
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Andreas Metzger, Clément Quinton, Zoltán Ádám Mann, Luciano Baresi, Klaus Pohl:
Realizing self-adaptive systems via online reinforcement learning and feature-model-guided exploration. Computing 106(4): 1251-1272 (2024)
[j39]
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Zoltán Ádám Mann, Christian Weinert, Daphnee Chabal, Joppe W. Bos:
Towards Practical Secure Neural Network Inference: The Journey So Far and the Road Ahead. ACM Comput. Surv. 56(5): 117:1-117:37 (2024)
2023
[j38]
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Sven Smolka, Leon Wißenberg, Zoltán Ádám Mann:
EdgeDecAp: An auction-based decentralized algorithm for optimizing application placement in edge computing. J. Parallel Distributed Comput. 175: 22-36 (2023)
[j37]
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Zoltán Ádám Mann, Andreas Metzger, Johannes Prade, Robert Seidl, Klaus Pohl:
Cost-Optimized, Data-Protection-Aware Offloading Between an Edge Data Center and the Cloud. IEEE Trans. Serv. Comput. 16(1): 206-220 (2023)
2022
[j36]
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Sven Smolka, Zoltán Ádám Mann:
Evaluation of fog application placement algorithms: a survey. Computing 104(6): 1397-1423 (2022)
[j35]
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Zoltán Ádám Mann:
Decentralized Application Placement in Fog Computing. IEEE Trans. Parallel Distributed Syst. 33(12): 3262-3273 (2022)
2021
[j34]
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Ehsan Ahvar, Shohreh Ahvar, Zoltán Ádám Mann, Noël Crespi, Roch H. Glitho, Joaquín García-Alfaro:
DECA: A Dynamic Energy Cost and Carbon Emission-Efficient Application Placement Method for Edge Clouds. IEEE Access 9: 70192-70213 (2021)
[j33]
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Zoltán Ádám Mann, Florian Kunz, Jan Laufer, Julian Bellendorf, Andreas Metzger, Klaus Pohl:
RADAR: Data Protection in Cloud-Based Computer Systems at Run Time. IEEE Access 9: 70816-70842 (2021)
[j32]
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Zoltán Ádám Mann:
Notions of architecture in fog computing. Computing 103(1): 51-73 (2021)
[j31]
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René Ponto, Gabor Kecskemeti, Zoltán Ádám Mann:
Comparison of workload consolidation algorithms for cloud data centers. Concurr. Comput. Pract. Exp. 33(9) (2021)
2020
[j30]
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Julian Bellendorf, Zoltán Ádám Mann:
Specification of cloud topologies and orchestration using TOSCA: a survey. Computing 102(8): 1793-1815 (2020)
[j29]
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Julian Bellendorf, Zoltán Ádám Mann:
Classification of optimization problems in fog computing. Future Gener. Comput. Syst. 107: 158-176 (2020)
[j28]
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Zoltán Ádám Mann:
Secure software placement and configuration. Future Gener. Comput. Syst. 110: 243-253 (2020)
[j27]
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Antonio Brogi, Antonio Bucchiarone, Rafael Capilla, Pooyan Jamshidi, Maurizio Leotta, Zoltán Ádám Mann, Marina Mongiello, Francesco Nocera:
Ensemble-Based Software Engineering for Modern Computing Platforms. ACM SIGSOFT Softw. Eng. Notes 45(1): 28-30 (2020)
2019
[j26]
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Zoltán Ádám Mann, Andreas Metzger, Klaus Pohl:
Situativer Datenschutz im Fog-Computing. Inform. Spektrum 42(4): 236-243 (2019)
2018
[j25]
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Gergely Halácsy, Zoltán Ádám Mann:
Optimal energy-efficient placement of virtual machines with divisible sizes. Inf. Process. Lett. 138: 51-56 (2018)
[j24]
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Zoltán Ádám Mann:
Complexity of Coloring Random Graphs: An Experimental Study of the Hardest Region. ACM J. Exp. Algorithmics 23 (2018)
[j23]
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Zoltán Ádám Mann:
Cloud simulators in the implementation and evaluation of virtual machine placement algorithms. Softw. Pract. Exp. 48(7): 1368-1389 (2018)
[j22]
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Sevil Dräxler, Holger Karl, Zoltán Ádám Mann:
JASPER: Joint Optimization of Scaling, Placement, and Routing of Virtual Network Services. IEEE Trans. Netw. Serv. Manag. 15(3): 946-960 (2018)
[j21]
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Zoltán Ádám Mann:
Resource Optimization Across the Cloud Stack. IEEE Trans. Parallel Distributed Syst. 29(1): 169-182 (2018)
2017
[j20]
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Zoltán Ádám Mann:
The Top Eight Misconceptions about NP-Hardness. Computer 50(5): 72-79 (2017)
[j19]
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Zoltán Ádám Mann, Máté Szabó:
Which is the best algorithm for virtual machine placement optimization? Concurr. Comput. Pract. Exp. 29(10) (2017)
[j18]
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Zoltán Ádám Mann, Pál András Papp:
Guiding SAT Solving by Formula Partitioning. Int. J. Artif. Intell. Tools 26(4): 1750011:1-1750011:37 (2017)
[j17]
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Imre Kocsis, Zoltán Ádám Mann, Dávid Zilahi:
Optimised deployment of critical applications in infrastructure-as-a-service clouds. Int. J. Cloud Comput. 6(4): 342-362 (2017)
2016
[j16]
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Zoltán Ádám Mann:
Multicore-Aware Virtual Machine Placement in Cloud Data Centers. IEEE Trans. Computers 65(11): 3357-3369 (2016)
[j15]
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Zoltán Ádám Mann:
A Comment on "Process Placement in Multicore Clusters: Algorithmic Issues and Practical Techniques". IEEE Trans. Parallel Distributed Syst. 27(8): 2475-2476 (2016)
2015
[j14]
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Zoltán Ádám Mann:
Allocation of Virtual Machines in Cloud Data Centers - A Survey of Problem Models and Optimization Algorithms. ACM Comput. Surv. 48(1): 11:1-11:34 (2015)
[j13]
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Zoltán Ádám Mann:
Rigorous results on the effectiveness of some heuristics for the consolidation of virtual machines in a cloud data center. Future Gener. Comput. Syst. 51: 1-6 (2015)
2014
[j12]
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Zoltán Ádám Mann, Tamás Szép:
Accelerating backtrack search with a best-first-search strategy. Int. J. Appl. Math. Comput. Sci. 24(4): 901-916 (2014)
2013
[j11]
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Zoltán Ádám Mann, Pál András Papp:
Predicting algorithmic complexity through structure analysis and compression. Appl. Soft Comput. 13(8): 3582-3596 (2013)
[j10]
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Zoltán Ádám Mann, Aniko Szajko:
Average-case complexity of backtrack search for coloring sparse random graphs. J. Comput. Syst. Sci. 79(8): 1287-1301 (2013)
2010
[j9]
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Zoltán Ádám Mann:
Numbering action vertices in workflow graphs. Int. J. Appl. Math. Comput. Sci. 20(3): 591-600 (2010)
2007
[j8]
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Zoltán Ádám Mann, András Orbán, Viktor Farkas:
Evaluating the Kernighan-Lin Heuristic for Hardware/Software Partitioning. Int. J. Appl. Math. Comput. Sci. 17(2): 249-267 (2007)
[j7]
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Zoltán Ádám Mann, András Orbán, Péter Arató:
Finding optimal hardware/software partitions. Formal Methods Syst. Des. 31(3): 241-263 (2007)
2006
[j6]
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Zoltán Ádám Mann:
Three Public Enemies: Cut, Copy, and Paste. Computer 39(7): 31-35 (2006)
2005
[j5]
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Martin Kempa, Zoltán Ádám Mann:
Model Driven Architecture. Inform. Spektrum 28(4): 298-302 (2005)
[j4]
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Péter Arató, Zoltán Ádám Mann, András Orbán:
Time-constrained scheduling of large pipelined datapaths. J. Syst. Archit. 51(12): 665-687 (2005)
[j3]
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Péter Arató, Zoltán Ádám Mann, András Orbán:
Extending component-based design with hardware components. Sci. Comput. Program. 56(1-2): 23-39 (2005)
[j2]
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Péter Arató, Zoltán Ádám Mann, András Orbán:
Algorithmic aspects of hardware/software partitioning. ACM Trans. Design Autom. Electr. Syst. 10(1): 136-156 (2005)
2004
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Zoltán Ádám Mann, Károly Kondorosi:
Tracing system-level communication in distributed systems. Softw. Pract. Exp. 34(8): 727-755 (2004)

Conference and Workshop Papers

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2025
[c48]
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Daphnee Chabal, Tim Müller, Eloise Zhang, Dolly Sapra, Cees de Laat, Zoltán Ádám Mann:
COLIBRI: Optimizing Multi-party Secure Neural Network Inference Time for Transformers. SEC (1) 2025: 17-31
[c47]
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Zoltán Ádám Mann:
Time is Money: A Temporal Model of Cybersecurity. SEC (2) 2025: 82-96
2024
[c46]
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Zoltán Ádám Mann:
Urgency in Cybersecurity Risk Management: Toward a Solid Theory. CSF 2024: 651-664
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Francesco Regazzoni, Gergely Ács, Albert Zoltan Aszalos, Christos Avgerinos, Nikolaos Bakalos, Josep Lluis Berral, Joppe W. Bos, Marco Brohet, Andrés G. Castillo Sanz, Gareth T. Davies, Stefanos Florescu, Pierre-Elisée Flory, Alberto Gutierrez-Torre, Evangelos Haleplidis, Alice Héliou, Sotirios Ioannidis, Alexander Islam El-Kady, Katarzyna Kapusta, Konstantina Karagianni, Pieter Kruizinga, Kyrian Maat, Zoltán Ádám Mann, Kalliopi Mastoraki, SeoJeong Moon, Maja Nisevic, Balázs Pejó, Kostas Papagiannopoulos, Vassilis Paliouras, Paolo Palmieri, Francesca Palumbo, Juan Carlos Pérez Baun, Péter Pollner, Eduard Porta-Pardo, Luca Pulina, Muhammad Ali Siddiqi, Daniela Spajic, Christos Strydis, Georgios Tasopoulos, Vincent Thouvenot, Christos Tselios, Apostolos P. Fournaris:
SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. DATE 2024: 1-4
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Zoltán Ádám Mann, Jonathan Petit, Sarah M. Thornton, Michael Buchholz, Jason Millar:
SPIDER: Interplay Assessment Method for Privacy and Other Values. EuroS&P Workshops 2024: 1-8
[c43]
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Ala'a Al-Momani, David M. Balenson, Zoltán Ádám Mann, Sebastian Pape, Jonathan Petit, Christoph Bösch:
Navigating Privacy Patterns in the Era of Robotaxis. EuroS&P Workshops 2024: 32-39
[c42]
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Kanwal Batool, Saleem Anwar, Zoltán Ádám Mann:
SecFePAS: Secure Facial-Expression-Based Pain Assessment with Deep Learning at the Edge. SEC 2024: 417-424
[c41]
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  - conf/ithings/IslamOMK24
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Tanjina Islam, Ana Oprescu, Zoltán Ádám Mann, Sander Klous:
A Framework to Optimize the Energy Cost of Securing Neural Network Inference. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2024: 1-8
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Eloise Zhang, Zoltán Ádám Mann:
Predicting the Execution Time of Secure Neural Network Inference. SEC 2024: 481-494
2023
[c39]
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  - conf/ucc/VriesM23
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Rik de Vries, Zoltán Ádám Mann:
Secure Neural Network Inference as a Service with Resource-Constrained Clients. UCC 2023: 8
2022
[c38]
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  - conf/IEEEares/ZmiewskiLM22
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Sascha Sven Zmiewski, Jan Laufer, Zoltán Ádám Mann:
Automatic online quantification and prioritization of data protection risks. ARES 2022: 7:1-7:10
[c37]
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Dhouha Ayed, Paul-Andrei Dragan, Edith Félix, Zoltán Ádám Mann, Eliot E. Salant, Robert Seidl, Anestis Sidiropoulos, Steve Taylor, Ricardo Vitorino:
Protecting sensitive data in the cloud-to-edge continuum: The FogProtect approach. CCGRID 2022: 279-288
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Sven Smolka, Jan Laufer, Zoltán Ádám Mann, Klaus Pohl:
UMLsec4Edge: Extending UMLsec to model data-protection-compliant edge computing systems. SEAA 2022: 418-425
2021
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Zoltán Ádám Mann:
Security- and Privacy-Aware IoT Application Placement and User Assignment. CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS 2021: 296-316
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Clemens Lachner, Zoltán Ádám Mann, Schahram Dustdar:
Towards Understanding the Adaptation Space of AI-Assisted Data Protection for Video Analytics at the Edge. ICDCS Workshops 2021: 7-12
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Jan Laufer, Zoltán Ádám Mann, Andreas Metzger:
Modelling Data Protection in Fog Computing Systems using UMLsec and SysML-Sec. MoDELS (Companion) 2021: 777-786
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Theresa Wettig, Zoltán Ádám Mann:
Simulation-based analysis of threats to location privacy in fog computing. PerCom Workshops 2021: 736-741
[c31]
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Andreas Metzger, Clément Quinton, Zoltán Ádám Mann, Luciano Baresi, Klaus Pohl:
Feature-Modell-geführtes Online Reinforcement Learning für Selbst-adaptive Systeme. Software Engineering 2021: 75-76
2020
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Dhouha Ayed, Eva Jaho, Clemens Lachner, Zoltán Ádám Mann, Robert Seidl, Mike Surridge:
FogProtect: Protecting Sensitive Data in the Computing Continuum. ESOCC Workshops 2020: 179-184
[c29]
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Andreas Metzger, Clément Quinton, Zoltán Ádám Mann, Luciano Baresi, Klaus Pohl:
Feature Model-Guided Online Reinforcement Learning for Self-Adaptive Services. ICSOC 2020: 269-286
[c28]
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Christian Kunde, Zoltán Ádám Mann:
Comparison of simulators for fog computing. SAC 2020: 1792-1795
[c27]
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Zoltán Ádám Mann, Andreas Metzger, Johannes Prade, Robert Seidl:
Optimized Application Deployment using Fog and Cloud Computing Environments. SE 2020: 117-119
2019
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Florian Kunz, Zoltán Ádám Mann:
Finding Risk Patterns in Cloud System Models. CLOUD 2019: 251-255
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Claas Keller, Zoltán Ádám Mann:
Towards Understanding Adaptation Latency in Self-adaptive Systems. ICSOC Workshops 2019: 42-53
[c24]
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Zoltán Ádám Mann, Andreas Metzger, Johannes Prade, Robert Seidl:
Optimized Application Deployment in the Fog. ICSOC 2019: 283-298
[c23]
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Zoltán Ádám Mann:
Architecture and Quality of Cloud Simulators. SE/SWM 2019: 177-178
2018
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Julian Bellendorf, Zoltán Ádám Mann:
Cloud Topology and Orchestration Using TOSCA: A Systematic Literature Review. ESOCC 2018: 207-215
[c21]
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Nazila Gol Mohammadi, Zoltán Ádám Mann, Andreas Metzger, Maritta Heisel, James Greig:
Towards an End-to-End Architecture for Run-Time Data Protection in the Cloud. SEAA 2018: 514-518
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Zoltán Ádám Mann, Andreas Metzger:
Auto-Adjusting Self-Adaptive Software Systems. ICAC 2018: 181-186
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Zoltán Ádám Mann, Andreas Metzger:
The special case of data protection and self-adaptation. SEAMS@ICSE 2018: 190-191
[c18]
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Zoltán Ádám Mann, Andreas Metzger, Stefan Schoenen:
Towards a run-time model for data protection in the cloud. Modellierung 2018: 71-86
[c17]
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Alexander Palm, Zoltán Ádám Mann, Andreas Metzger:
Modeling Data Protection Vulnerabilities of Cloud Systems Using Risk Patterns. SAM 2018: 1-19
[c16]
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Zoltán Ádám Mann, Andreas Metzger:
Optimized Cloud Deployment of Multi-tenant Software Considering Data Protection Concerns - Abridged Version. Software Engineering 2018: 59-60
2017
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Sevil Dräxler, Holger Karl, Zoltán Ádám Mann:
Joint Optimization of Scaling and Placement of Virtual Network Services. CCGrid 2017: 365-370
[c14]
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Zoltán Ádám Mann, Andreas Metzger:
Optimized Cloud Deployment of Multi-tenant Software Considering Data Protection Concerns. CCGrid 2017: 609-618
[c13]
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Zoltán Ádám Mann:
Two Are Better Than One: An Algorithm Portfolio Approach to Cloud Resource Management. ESOCC 2017: 93-108
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Zoltán Ádám Mann, Eliot E. Salant, Mike Surridge, Dhouha Ayed, John Boyle, Maritta Heisel, Andreas Metzger, Paul Mundt:
Secure Data Processing in the Cloud. ESOCC Workshops 2017: 149-153
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Stefan Schoenen, Zoltán Ádám Mann, Andreas Metzger:
Using Risk Patterns to Identify Violations of Data Protection Policies in Cloud Systems. ICSOC Workshops 2017: 296-307
2016
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Ehsan Ahvar, Shohreh Ahvar, Zoltán Ádám Mann, Noël Crespi, Joaquín García-Alfaro, Roch H. Glitho:
CACEV: A Cost and Carbon Emission-Efficient Virtual Machine Placement Method for Green Distributed Clouds. SCC 2016: 275-282
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Zoltán Ádám Mann:
Interplay of Virtual Machine Selection and Virtual Machine Placement. ESOCC 2016: 137-151
2015
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Ehsan Ahvar, Shohreh Ahvar, Noël Crespi, Joaquín García-Alfaro, Zoltán Ádám Mann:
NACER: A Network-Aware Cost-Efficient Resource Allocation Method for Processing-Intensive Tasks in Distributed Clouds. NCA 2015: 90-97
2014
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Zoltán Ádám Mann, Pál András Papp:
Formula partitioning revisited. POS@SAT 2014: 41-56
[c6]
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Zoltán Ádám Mann:
Typical-case complexity and the SAT competitions. POS@SAT 2014: 72-87
2010
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Zoltán Ádám Mann, Aniko Szajko:
Improved Bounds on the Complexity of Graph Coloring. SYNASC 2010: 347-354
2006
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Zoltán Ádám Mann:
Pragmatische Modellierung von Testfällen für Software im Automobil. GI Jahrestagung (2) 2006: 231-235
2004
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Péter Arató, Zoltán Ádám Mann, András Orbán:
Component-Based Hardware-Software Co-design. ARCS 2004: 169-183
2002
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Zoltán Ádám Mann, Jacques Calmet, Peter Kullmann:
Testing Access to External Information Sources in a Mediator Environment. TestCom 2002: 111-
2001
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András Orbán, Zoltán Ádám Mann:
Integrating formal, soft and diagrammatic approaches in high-level synthesis and hardware-software co-design. GI Jahrestagung (1) 2001: 649-654

Parts in Books or Collections

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2019
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Zoltán Ádám Mann:
Optimization Problems in Fog and Edge Computing. Fog and Edge Computing 2019: 103-121

Editorship

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2022
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Christian Wressnegger, Delphine Reinhardt, Thomas Barber, Bernhard C. Witt, Daniel Arp, Zoltán Ádám Mann:
Sicherheit, Schutz und Zuverlässigkeit: Konferenzband der 11. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V. (GI), Sicherheit 2022, Karlsruhe, Germany, April 5-8, 2022. LNI P-323, Gesellschaft für Informatik e.V. 2022, ISBN 978-3-88579-717-3 [contents]
2019
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Francesco Nocera, Antonio Bucchiarone, Marina Mongiello, Rafael Capilla, Maurizio Leotta, Zoltán Ádám Mann, Pooyan Jamshidi, Antonio Brogi:
Proceedings of the 2nd ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering for Modern Computing Platforms, EnSEmble@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 26, 2019. ACM 2019, ISBN 978-1-4503-6853-7 [contents]
2018
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Zoltán Ádám Mann, Volker Stolz:
Advances in Service-Oriented and Cloud Computing - Workshops of ESOCC 2017, Oslo, Norway, September 27-29, 2017, Revised Selected Papers. Communications in Computer and Information Science 824, Springer 2018, ISBN 978-3-319-79089-3 [contents]

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2025
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Kanwal Batool, Saleem Anwar, Zoltán Ádám Mann:
SecFePAS: Secure Facial-Expression-Based Pain Assessment with Deep Learning at the Edge. IACR Cryptol. ePrint Arch. 2025: 1280 (2025)
2023
[i5]
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Daphnee Chabal, Dolly Sapra, Zoltán Ádám Mann:
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence. CoRR abs/2302.05323 (2023)
2022
[i4]
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Sven Smolka, Jan Laufer, Zoltán Ádám Mann, Klaus Pohl:
UMLsec4Edge: Extending UMLsec to model data-protection-compliant edge computing systems. CoRR abs/2210.09358 (2022)
[i3]
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Zoltán Ádám Mann, Christian Weinert, Daphnee Chabal, Joppe W. Bos:
Towards Practical Secure Neural Network Inference: The Journey So Far and the Road Ahead. IACR Cryptol. ePrint Arch. 2022: 1483 (2022)
2019
[i2]
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Andreas Metzger, Clément Quinton, Zoltán Ádám Mann, Luciano Baresi, Klaus Pohl:
Feature-Model-Guided Online Learning for Self-Adaptive Systems. CoRR abs/1907.09158 (2019)
2017
[i1]
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Sevil Dräxler, Holger Karl, Zoltán Ádám Mann:
JASPER: Joint Optimization of Scaling, Placement, and Routing of Virtual Network Services. CoRR abs/1711.10839 (2017)

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