Integrating formal, soft and diagrammatic approaches in high-level synthesis and hardware-software co-design. - András Orbán; Zoltán Ádám Mann (GI Jahrestagung (1), 2001)

Testing Access to External Information Sources in a Mediator Environment. - Zoltán Ádám Mann; Jacques Calmet; Peter Kullmann (TestCom, 2002)

Component-Based Hardware-Software Co-design. - Péter Arató; Zoltán Ádám Mann; András Orbán (ARCS, 2004)

Tracing system-level communication in distributed systems. - Zoltán Ádám Mann; Károly Kondorosi (Softw. Pract. Exp., 2004)

Model Driven Architecture. - Martin Kempa; Zoltán Ádám Mann (Inform. Spektrum, 2005)

Time-constrained scheduling of large pipelined datapaths. - Péter Arató; Zoltán Ádám Mann; András Orbán (J. Syst. Archit., 2005)

Extending component-based design with hardware components. - Péter Arató; Zoltán Ádám Mann; András Orbán (Sci. Comput. Program., 2005)

Algorithmic aspects of hardware/software partitioning. - Péter Arató; Zoltán Ádám Mann; András Orbán (ACM Trans. Design Autom. Electr. Syst., 2005)

Pragmatische Modellierung von Testfällen für Software im Automobil. - Zoltán Ádám Mann (GI Jahrestagung (2), 2006)

Three Public Enemies: Cut, Copy, and Paste. - Zoltán Ádám Mann (Computer, 2006)

Evaluating the Kernighan-Lin Heuristic for Hardware/Software Partitioning. - Zoltán Ádám Mann; András Orbán; Viktor Farkas (Int. J. Appl. Math. Comput. Sci., 2007)

Finding optimal hardware/software partitions. - Zoltán Ádám Mann; András Orbán; Péter Arató (Formal Methods Syst. Des., 2007)

Improved Bounds on the Complexity of Graph Coloring. - Zoltán Ádám Mann; Aniko Szajko (SYNASC, 2010)

Numbering action vertices in workflow graphs. - Zoltán Ádám Mann (Int. J. Appl. Math. Comput. Sci., 2010)

Predicting algorithmic complexity through structure analysis and compression. - Zoltán Ádám Mann; Pál András Papp (Appl. Soft Comput., 2013)

Average-case complexity of backtrack search for coloring sparse random graphs. - Zoltán Ádám Mann; Aniko Szajko (J. Comput. Syst. Sci., 2013)

Typical-case complexity and the SAT competitions. - Zoltán Ádám Mann (POS@SAT, 2014)

Formula partitioning revisited. - Zoltán Ádám Mann; Pál András Papp (POS@SAT, 2014)

Accelerating backtrack search with a best-first-search strategy. - Zoltán Ádám Mann; Tamás Szép (Int. J. Appl. Math. Comput. Sci., 2014)

NACER: A Network-Aware Cost-Efficient Resource Allocation Method for Processing-Intensive Tasks in Distributed Clouds. - Ehsan Ahvar; Shohreh Ahvar; Noël Crespi; Joaquín García-Alfaro; Zoltán Ádám Mann (NCA, 2015)

Allocation of Virtual Machines in Cloud Data Centers - A Survey of Problem Models and Optimization Algorithms. - Zoltán Ádám Mann (ACM Comput. Surv., 2015)

Rigorous results on the effectiveness of some heuristics for the consolidation of virtual machines in a cloud data center. - Zoltán Ádám Mann (Future Gener. Comput. Syst., 2015)

CACEV: A Cost and Carbon Emission-Efficient Virtual Machine Placement Method for Green Distributed Clouds. - Ehsan Ahvar; Shohreh Ahvar; Zoltán Ádám Mann; Noël Crespi; Joaquín García-Alfaro; Roch H. Glitho (SCC, 2016)

Interplay of Virtual Machine Selection and Virtual Machine Placement. - Zoltán Ádám Mann (ESOCC, 2016)

Multicore-Aware Virtual Machine Placement in Cloud Data Centers. - Zoltán Ádám Mann (IEEE Trans. Computers, 2016)

A Comment on "Process Placement in Multicore Clusters: Algorithmic Issues and Practical Techniques". - Zoltán Ádám Mann (IEEE Trans. Parallel Distributed Syst., 2016)

Joint Optimization of Scaling and Placement of Virtual Network Services. - Sevil Dräxler; Holger Karl; Zoltán Ádám Mann (CCGrid, 2017)

Optimized Cloud Deployment of Multi-tenant Software Considering Data Protection Concerns. - Zoltán Ádám Mann; Andreas Metzger (CCGrid, 2017)

Two Are Better Than One: An Algorithm Portfolio Approach to Cloud Resource Management. - Zoltán Ádám Mann (ESOCC, 2017)

Secure Data Processing in the Cloud. - Zoltán Ádám Mann; Eliot E. Salant; Mike Surridge; Dhouha Ayed; John Boyle; Maritta Heisel; Andreas Metzger; Paul Mundt (ESOCC Workshops, 2017)

Using Risk Patterns to Identify Violations of Data Protection Policies in Cloud Systems. - Stefan Schoenen; Zoltán Ádám Mann; Andreas Metzger (ICSOC Workshops, 2017)

The Top Eight Misconceptions about NP-Hardness. - Zoltán Ádám Mann (Computer, 2017)

Which is the best algorithm for virtual machine placement optimization? - Zoltán Ádám Mann; Máté Szabó (Concurr. Comput. Pract. Exp., 2017)

Guiding SAT Solving by Formula Partitioning. - Zoltán Ádám Mann; Pál András Papp (Int. J. Artif. Intell. Tools, 2017)

Optimised deployment of critical applications in infrastructure-as-a-service clouds. - Imre Kocsis; Zoltán Ádám Mann; Dávid Zilahi (Int. J. Cloud Comput., 2017)

Cloud Topology and Orchestration Using TOSCA: A Systematic Literature Review. - Julian Bellendorf; Zoltán Ádám Mann (ESOCC, 2018)

Towards an End-to-End Architecture for Run-Time Data Protection in the Cloud. - Nazila Gol Mohammadi; Zoltán Ádám Mann; Andreas Metzger; Maritta Heisel; James Greig (SEAA, 2018)

Auto-Adjusting Self-Adaptive Software Systems. - Zoltán Ádám Mann; Andreas Metzger (ICAC, 2018)

The special case of data protection and self-adaptation. - Zoltán Ádám Mann; Andreas Metzger (SEAMS@ICSE, 2018)

Towards a run-time model for data protection in the cloud. - Zoltán Ádám Mann; Andreas Metzger; Stefan Schoenen (Modellierung, 2018)

Modeling Data Protection Vulnerabilities of Cloud Systems Using Risk Patterns. - Alexander Palm; Zoltán Ádám Mann; Andreas Metzger (SAM, 2018)

Optimized Cloud Deployment of Multi-tenant Software Considering Data Protection Concerns - Abridged Version. - Zoltán Ádám Mann; Andreas Metzger (Software Engineering, 2018)

Optimal energy-efficient placement of virtual machines with divisible sizes. - Gergely Halácsy; Zoltán Ádám Mann (Inf. Process. Lett., 2018)

Complexity of Coloring Random Graphs: An Experimental Study of the Hardest Region. - Zoltán Ádám Mann (ACM J. Exp. Algorithmics, 2018)

Cloud simulators in the implementation and evaluation of virtual machine placement algorithms. - Zoltán Ádám Mann (Softw. Pract. Exp., 2018)

JASPER: Joint Optimization of Scaling, Placement, and Routing of Virtual Network Services. - Sevil Dräxler; Holger Karl; Zoltán Ádám Mann (IEEE Trans. Netw. Serv. Manag., 2018)

Resource Optimization Across the Cloud Stack. - Zoltán Ádám Mann (IEEE Trans. Parallel Distributed Syst., 2018)

Optimization Problems in Fog and Edge Computing. - Zoltán Ádám Mann (Fog and Edge Computing, 2019)

Finding Risk Patterns in Cloud System Models. - Florian Kunz; Zoltán Ádám Mann (CLOUD, 2019)

Towards Understanding Adaptation Latency in Self-adaptive Systems. - Claas Keller; Zoltán Ádám Mann (ICSOC Workshops, 2019)

Optimized Application Deployment in the Fog. - Zoltán Ádám Mann; Andreas Metzger; Johannes Prade; Robert Seidl (ICSOC, 2019)

Architecture and Quality of Cloud Simulators. - Zoltán Ádám Mann (SE/SWM, 2019)

Feature-Model-Guided Online Learning for Self-Adaptive Systems. - Andreas Metzger; Clément Quinton; Zoltán Ádám Mann; Luciano Baresi; Klaus Pohl (CoRR, 2019)

Situativer Datenschutz im Fog-Computing. - Zoltán Ádám Mann; Andreas Metzger; Klaus Pohl (Inform. Spektrum, 2019)

FogProtect: Protecting Sensitive Data in the Computing Continuum. - Dhouha Ayed; Eva Jaho; Clemens Lachner; Zoltán Ádám Mann; Robert Seidl; Mike Surridge (ESOCC Workshops, 2020)

Feature Model-Guided Online Reinforcement Learning for Self-Adaptive Services. - Andreas Metzger; Clément Quinton; Zoltán Ádám Mann; Luciano Baresi; Klaus Pohl (ICSOC, 2020)

Comparison of simulators for fog computing. - Christian Kunde; Zoltán Ádám Mann (SAC, 2020)

Optimized Application Deployment using Fog and Cloud Computing Environments. - Zoltán Ádám Mann; Andreas Metzger; Johannes Prade; Robert Seidl (SE, 2020)

Specification of cloud topologies and orchestration using TOSCA: a survey. - Julian Bellendorf; Zoltán Ádám Mann (Computing, 2020)

Classification of optimization problems in fog computing. - Julian Bellendorf; Zoltán Ádám Mann (Future Gener. Comput. Syst., 2020)

Secure software placement and configuration. - Zoltán Ádám Mann (Future Gener. Comput. Syst., 2020)

Ensemble-Based Software Engineering for Modern Computing Platforms. - Antonio Brogi; Antonio Bucchiarone; Rafael Capilla; Pooyan Jamshidi; Maurizio Leotta; Zoltán Ádám Mann; Marina Mongiello; Francesco Nocera (ACM SIGSOFT Softw. Eng. Notes, 2020)

Security- and Privacy-Aware IoT Application Placement and User Assignment. - Zoltán Ádám Mann (CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS, 2021)

Towards Understanding the Adaptation Space of AI-Assisted Data Protection for Video Analytics at the Edge. - Clemens Lachner; Zoltán Ádám Mann; Schahram Dustdar (ICDCS Workshops, 2021)

Modelling Data Protection in Fog Computing Systems using UMLsec and SysML-Sec. - Jan Laufer 001; Zoltán Ádám Mann; Andreas Metzger (MoDELS (Companion), 2021)

Simulation-based analysis of threats to location privacy in fog computing. - Theresa Wettig; Zoltán Ádám Mann (PerCom Workshops, 2021)

Feature-Modell-geführtes Online Reinforcement Learning für Selbst-adaptive Systeme. - Andreas Metzger; Clément Quinton; Zoltán Ádám Mann; Luciano Baresi; Klaus Pohl (Software Engineering, 2021)

DECA: A Dynamic Energy Cost and Carbon Emission-Efficient Application Placement Method for Edge Clouds. - Ehsan Ahvar; Shohreh Ahvar; Zoltán Ádám Mann; Noël Crespi; Roch H. Glitho; Joaquín García-Alfaro (IEEE Access, 2021)

RADAR: Data Protection in Cloud-Based Computer Systems at Run Time. - Zoltán Ádám Mann; Florian Kunz; Jan Laufer 001; Julian Bellendorf; Andreas Metzger; Klaus Pohl (IEEE Access, 2021)

Notions of architecture in fog computing. - Zoltán Ádám Mann (Computing, 2021)

Comparison of workload consolidation algorithms for cloud data centers. - René Ponto; Gabor Kecskemeti; Zoltán Ádám Mann (Concurr. Comput. Pract. Exp., 2021)

Automatic online quantification and prioritization of data protection risks. - Sascha Sven Zmiewski; Jan Laufer 001; Zoltán Ádám Mann (ARES, 2022)

Protecting sensitive data in the cloud-to-edge continuum: The FogProtect approach. - Dhouha Ayed; Paul-Andrei Dragan; Edith Félix; Zoltán Ádám Mann; Eliot E. Salant; Robert Seidl; Anestis Sidiropoulos; Steve Taylor; Ricardo Vitorino (CCGRID, 2022)

UMLsec4Edge: Extending UMLsec to model data-protection-compliant edge computing systems. - Sven Smolka; Jan Laufer 001; Zoltán Ádám Mann; Klaus Pohl (SEAA, 2022)

Evaluation of fog application placement algorithms: a survey. - Sven Smolka; Zoltán Ádám Mann (Computing, 2022)

Decentralized Application Placement in Fog Computing. - Zoltán Ádám Mann (IEEE Trans. Parallel Distributed Syst., 2022)

Secure Neural Network Inference as a Service with Resource-Constrained Clients. - Rik de Vries; Zoltán Ádám Mann (UCC, 2023)

On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence. - Daphnee Chabal; Dolly Sapra; Zoltán Ádám Mann (CoRR, 2023)

Cost-Optimized, Data-Protection-Aware Offloading Between an Edge Data Center and the Cloud. - Zoltán Ádám Mann; Andreas Metzger; Johannes Prade; Robert Seidl; Klaus Pohl (IEEE Trans. Serv. Comput., 2023)

EdgeDecAp: An auction-based decentralized algorithm for optimizing application placement in edge computing. - Sven Smolka; Leon Wißenberg; Zoltán Ádám Mann (J. Parallel Distributed Comput., 2023)

Urgency in Cybersecurity Risk Management: Toward a Solid Theory. - Zoltán Ádám Mann (CSF, 2024)

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. - Francesco Regazzoni 001; 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; et al. (DATE, 2024)

Navigating Privacy Patterns in the Era of Robotaxis. - Ala'a Al-Momani; David M. Balenson; Zoltán Ádám Mann; Sebastian Pape 001; Jonathan Petit; Christoph Bösch 001 (EuroS&P Workshops, 2024)

SPIDER: Interplay Assessment Method for Privacy and Other Values. - Zoltán Ádám Mann; Jonathan Petit; Sarah M. Thornton; Michael Buchholz; Jason Millar (EuroS&P Workshops, 2024)

A Framework to Optimize the Energy Cost of Securing Neural Network Inference. - Tanjina Islam; Ana Oprescu; Zoltán Ádám Mann; Sander Klous (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Predicting the Execution Time of Secure Neural Network Inference. - Eloise Zhang; Zoltán Ádám Mann (SEC, 2024)

Realizing self-adaptive systems via online reinforcement learning and feature-model-guided exploration. - Andreas Metzger; Clément Quinton; Zoltán Ádám Mann; Luciano Baresi; Klaus Pohl (Computing, 2024)

Towards Practical Secure Neural Network Inference: The Journey So Far and the Road Ahead. - Zoltán Ádám Mann; Christian Weinert; Daphnee Chabal; Joppe W. Bos (ACM Comput. Surv., 2024)

COLIBRI: Optimizing Multi-party Secure Neural Network Inference Time for Transformers. - Daphnee Chabal; Tim Müller; Eloise Zhang; Dolly Sapra; Cees de Laat; Zoltán Ádám Mann (SEC (1), 2025)

Time is Money: A Temporal Model of Cybersecurity. - Zoltán Ádám Mann (SEC (2), 2025)

PaSSw0rdVib3s!: AI-assisted password recognition for digital forensic investigations. - 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 (Digit. Investig., 2025)

SecFePAS: Secure Facial-Expression-Based Pain Assessment with Deep Learning at the Edge. - Kanwal Batool; Saleem Anwar; Zoltán Ádám Mann (IACR Cryptol. ePrint Arch., 2025)

Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. - 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; et al. (IEEE Internet Comput., 2025)