Implicit Formae in Genetic Algorithms. - Márk Jelasity; József Dombi 001 (PPSN, 1996)

A Wave Analysis of the Subset Sum Problem. - Márk Jelasity (ICGA, 1997)

Learning Phonetic Rules in a Speech Recognition System. - Zoltán Alexin; János Csirik; Tibor Gyimóthy; Márk Jelasity; László Tóth 001 (ILP, 1997)

UEGO, an Abstract Niching Technique for Global Optimization. - Márk Jelasity (PPSN, 1998)

GAS, A Concept on Modeling Species in Genetic Algorithms. - Márk Jelasity; József Dombi 001 (Artif. Intell., 1998)

Characterizations of trajectory structure of fitness landscapes based on pairwise transition probabilities of solutions. - Márk Jelasity; Boglárka G.-Tóth; Tamás Vinkó (CEC, 1999)

The adaptationist stance and evolutionary computation. - Márk Jelasity (GECCO, 1999)

Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics. - Márk Jelasity (PPSN, 2000)

A Comparative Study of Several Feature Transformation and Learning Methods for Phoneme Classification. - András Kocsor; László Tóth 001; András Kuba; Kornél Kovács; Márk Jelasity; Tibor Gyimóthy; János Csirik (Int. J. Speech Technol., 2000)

UEGO, an Abstract Clustering Technique for Multimodal Global Optimization. - Márk Jelasity; Pilar Martínez Ortigosa; Inmaculada García (J. Heuristics, 2001)

Reliability and Performance of UEGO, a Clustering-based Global Optimizer. - Pilar M. Ortigosa; Inmaculada García; Márk Jelasity (J. Glob. Optim., 2001)

Maintaining Connectivity in a Scalable and Robust Distributed Environment. - Márk Jelasity; Mike Preuß; Maarten van Steen; Ben Paechter (CCGRID, 2002)

A critical note on experimental research methodology in EC. - Ágoston E. Eiben; Márk Jelasity (IEEE Congress on Evolutionary Computation, 2002)

A scalable and robust framework for distributed applications. - Márk Jelasity; Mike Press; Ben Paechter (IEEE Congress on Evolutionary Computation, 2002)

On Obtaining Global Information in a Peer-to-Peer Fully Distributed Environment (Research Note). - Márk Jelasity; Mike Preuß (Euro-Par, 2002)

A Framework for Distributed Evolutionary Algorithms. - Maribel García Arenas; Pierre Collet; A. E. Eiben; Márk Jelasity; Juan Julián Merelo Guervós; Ben Paechter; Mike Preuß; Marc Schoenauer (PPSN, 2002)

Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment. - Márk Jelasity; Mike Preuß; A. E. Eiben (PPSN, 2002)

A Robust and Scalable Peer-to-Peer Gossiping Protocol. - Spyros Voulgaris; Márk Jelasity; Maarten van Steen (AP2PC, 2003)

A Modular Paradigm for Building Self-Organizing Peer-to-Peer Applications. - Márk Jelasity; Alberto Montresor; Özalp Babaoglu (Engineering Self-Organising Systems, 2003)

An Ant Approach to Membership Overlay Design. - Vittorio Maniezzo; Marco A. Boschetti; Márk Jelasity (ANTS Workshop, 2004)

Robust Aggregation Protocols for Large-Scale Overlay Networks. - Alberto Montresor; Márk Jelasity; Özalp Babaoglu (DSN, 2004)

Epidemic-Style Proactive Aggregation in Large Overlay Networks. - Márk Jelasity; Alberto Montresor (ICDCS, 2004)

The Peer Sampling Service: Experimental Evaluation of Unstructured Gossip-Based Implementations. - Márk Jelasity; Rachid Guerraoui; Anne-Marie Kermarrec; Maarten van Steen (Middleware, 2004)

An Approach to Massively Distributed Aggregate Computing on Peer-to-Peer Networks. - Márk Jelasity; Wojtek Kowalczyk; Maarten van Steen (PDP, 2004)

Grassroots Approach to Self-management in Large-Scale Distributed Systems. - Özalp Babaoglu; Márk Jelasity; Alberto Montresor (UPP, 2004)

T-Man: Gossip-Based Overlay Topology Management. - Márk Jelasity; Özalp Babaoglu (Engineering Self-Organising Systems, 2005)

The Self-Star Vision. - Özalp Babaoglu; Márk Jelasity; Alberto Montresor; Christof Fetzer; Stefano Leonardi 001; Aad P. A. van Moorsel (Self-star Properties in Complex Information Systems, 2005)

Gossip-based self-managing services for large scale dynamic networks. - Özalp Babaoglu; Márk Jelasity; Alberto Montresor (Service Management and Self-Organization in IP-based Networks, 2005)

Topic 15 - Peer-to-Peer and Web Computing. - Anne-Marie Kermarrec; Márk Jelasity; Antony I. T. Rowstron; Henrique João L. Domingos (Euro-Par, 2005)

Chord on Demand. - Alberto Montresor; Márk Jelasity; Özalp Babaoglu (Peer-to-Peer Computing, 2005)

Gossip-based aggregation in large dynamic networks. - Márk Jelasity; Alberto Montresor; Özalp Babaoglu (ACM Trans. Comput. Syst., 2005)

Topic 15: Peer-to-Peer and Web Computing. - Henrique João L. Domingos; Anne-Marie Kermarrec; Pascal Felber; Márk Jelasity (Euro-Par, 2006)

The Bootstrapping Service. - Márk Jelasity; Alberto Montresor; Özalp Babaoglu (ICDCS Workshops, 2006)

Ordered Slicing of Very Large-Scale Overlay Networks. - Márk Jelasity; Anne-Marie Kermarrec (Peer-to-Peer Computing, 2006)

Guest Editors' Introduction: Self-Management through Self-Organization. - Márk Jelasity; Özalp Babaoglu; Robert Laddaga (IEEE Intell. Syst., 2006)

Managing clouds: a case for a fresh look at large unreliable dynamic networks. - Özalp Babaoglu; Márk Jelasity; Anne-Marie Kermarrec; Alberto Montresor; Maarten van Steen (ACM SIGOPS Oper. Syst. Rev., 2006)

Design patterns from biology for distributed computing. - Özalp Babaoglu; Geoffrey Canright; Andreas Deutsch; Gianni Di Caro; Frederick Ducatelle; Luca Maria Gambardella; Niloy Ganguly; Márk Jelasity; Roberto Montemanni; Alberto Montresor; Tore Urnes (ACM Trans. Auton. Adapt. Syst., 2006)

Asynchronous Distributed Power Iteration with Gossip-Based Normalization. - Márk Jelasity; Geoffrey Canright; Kenth Engø-Monsen (Euro-Par, 2007)

Firefly-inspired Heartbeat Synchronization in Overlay Networks. - Özalp Babaoglu; Toni Binci; Márk Jelasity; Alberto Montresor (SASO, 2007)

Exploring the interdisciplinary connections of gossip-based systems. - Paolo Costa; Vincent Gramoli; Márk Jelasity; Gian Paolo Jesi; Erwan Le Merrer; Alberto Montresor; Leonardo Querzoni (ACM SIGOPS Oper. Syst. Rev., 2007)

Gossip-based peer sampling. - Márk Jelasity; Spyros Voulgaris; Rachid Guerraoui; Anne-Marie Kermarrec; Maarten van Steen (ACM Trans. Comput. Syst., 2007)

Topic 7: Peer-to-Peer Computing. - Dick H. J. Epema; Márk Jelasity; Josep Jorba 001; Alberto Montresor (Euro-Par, 2008)

Decentralized Ranking in Large-Scale Overlay Networks. - Alberto Montresor; Márk Jelasity; Özalp Babaoglu (SASO Workshops, 2008)

Adaptive Peer Sampling with Newscast. - Norbert Tölgyesi; Márk Jelasity (Euro-Par, 2009)

Peer-to-Peer Optimization in Large Unreliable Networks with Branch-and-Bound and Particle Swarms. - Balázs Bánhelyi; Marco Biazzini; Alberto Montresor; Márk Jelasity (EvoWorkshops, 2009)

Distributed hyper-heuristics for real parameter optimization. - Marco Biazzini; Balázs Bánhelyi; Alberto Montresor; Márk Jelasity (GECCO, 2009)

Towards Automated Detection of Peer-to-Peer Botnets: On the Limits of Local Approaches. - Márk Jelasity; Vilmos Bilicki (LEET, 2009)

PeerSim: A Scalable P2P Simulator. - Alberto Montresor; Márk Jelasity (Peer-to-Peer Computing, 2009)

Scalable P2P Overlays of Very Small Constant Degree: An Emerging Security Threat. - Márk Jelasity; Vilmos Bilicki (SSS, 2009)

T-Man: Gossip-based fast overlay topology construction. - Márk Jelasity; Alberto Montresor; Özalp Babaoglu (Comput. Networks, 2009)

Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010. - István Hegedüs; Róbert Ormándi; Richárd Farkas; Márk Jelasity (CLEF (Notebook Papers/LABs/Workshops), 2010)

Overlay Management for Fully Distributed User-Based Collaborative Filtering. - Róbert Ormándi; István Hegedüs; Márk Jelasity (Euro-Par (1), 2010)

Towards Inferring Ratings from User Behavior in BitTorrent Communities. - Róbert Ormándi; István Hegedüs; Kornel Csernai; Márk Jelasity (WETICE, 2010)

Asynchronous Peer-to-Peer Data Mining with Stochastic Gradient Descent. - Róbert Ormándi; István Hegedüs; Márk Jelasity (Euro-Par (1), 2011)

Modeling Unconnectable Peers in Private BitTorrent Communities. - Kornel Csernai; Márk Jelasity; Johan A. Pouwelse; Tamás Vinkó (PDP, 2011)

Modeling Network-Level Impacts of P2P Flows. - Márk Jelasity; Vilmos Bilicki; Miklos Kasza (PDP, 2011)

Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data - Róbert Ormándi; István Hegedüs; Márk Jelasity (CoRR, 2011)

Scalable Stealth Mode P2P Overlays of Very Small Constant Degree. - Márk Jelasity; Vilmos Bilicki (ACM Trans. Auton. Adapt. Syst., 2011)

Gossip. - Márk Jelasity (Self-organising Software, 2011)

Peer-to-Peer Multi-class Boosting. - István Hegedüs; Róbert Busa-Fekete; Róbert Ormándi; Márk Jelasity; Balázs Kégl (Euro-Par, 2012)

Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks. - István Hegedüs; Róbert Ormándi; Márk Jelasity (SASO, 2012)

Asynchronous privacy-preserving iterative computation on peer-to-peer networks. - J. A. M. Naranjo; Leocadio G. Casado; Márk Jelasity (Computing, 2012)

Gossip-based distributed stochastic bandit algorithms. - Balázs Szörényi; Róbert Busa-Fekete; István Hegedüs; Róbert Ormándi; Márk Jelasity; Balázs Kégl (ICML (3), 2013)

Through the wormhole: Low cost, fresh peer sampling for the Internet. - Roberto Roverso; Jim Dowling; Márk Jelasity (P2P, 2013)

JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Márk Jelasity; Seif Haridi (SASO, 2013)

Massively Distributed Concept Drift Handling in Large Networks. - István Hegedüs; Róbert Ormándi; Márk Jelasity (Adv. Complex Syst., 2013)

Gossip learning with linear models on fully distributed data. - Róbert Ormándi; István Hegedüs; Márk Jelasity (Concurr. Comput. Pract. Exp., 2013)

Spanning Tree or Gossip for Aggregation: A Comparative Study. - Lehel Nyers; Márk Jelasity (Euro-Par, 2014)

Distributional differential privacy for large-scale smart metering. - Márk Jelasity; Kenneth P. Birman (IH&MMSec, 2014)

Defining and understanding smartphone churn over the internet: A measurement study. - Árpád Berta; Vilmos Bilicki; Márk Jelasity (P2P, 2014)

Fully distributed robust singular value decomposition. - István Hegedüs; Márk Jelasity; Levente Kocsis; András A. Benczúr (P2P, 2014)

Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning. - Gábor Danner; Márk Jelasity (DAIS, 2015)

A comparative study of spanning tree and gossip protocols for aggregation. - Lehel Nyers; Márk Jelasity (Concurr. Comput. Pract. Exp., 2015)

Building a Secure and Privacy-Preserving Smart Grid. - Ken Birman; Márk Jelasity; Robert Kleinberg; Edward Tremel (ACM SIGOPS Oper. Syst. Rev., 2015)

A Distributed Algorithm for Large-Scale Graph Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Márk Jelasity; Seif Haridi (ACM Trans. Auton. Adapt. Syst., 2015)

Dimension Reduction Methods for Collaborative Mobile Gossip Learning. - Árpád Berta; István Hegedüs; Márk Jelasity (PDP, 2016)

Distributed Differentially Private Stochastic Gradient Descent: An Empirical Study. - István Hegedüs; Márk Jelasity (PDP, 2016)

Robust Decentralized Differentially Private Stochastic Gradient Descent. - István Hegedüs; Árpád Berta; Márk Jelasity (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2016)

Robust Decentralized Low-Rank Matrix Decomposition. - István Hegedüs; Árpád Berta; Levente Kocsis; András A. Benczúr; Márk Jelasity (ACM Trans. Intell. Syst. Technol., 2016)

Decentralized Management of Random Walks over a Mobile Phone Network. - Árpád Berta; Márk Jelasity (PDP, 2017)

Differentially Private Linear Models for Gossip Learning through Data Perturbation. - István Hegedüs; Márk Jelasity (Open J. Internet Things, 2017)

Robust Decentralized Mean Estimation with Limited Communication. - Gábor Danner; Márk Jelasity (Euro-Par, 2018)

Token Account Algorithms: The Best of the Proactive and Reactive Worlds. - Gábor Danner; Márk Jelasity (ICDCS, 2018)

Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation. - Gábor Danner; Árpád Berta; István Hegedüs; Márk Jelasity (Secur. Commun. Networks, 2018)

Gossip Learning as a Decentralized Alternative to Federated Learning. - István Hegedüs; Gábor Danner; Márk Jelasity (DAIS, 2019)

Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. - Zoltán Szabó 009; Krisztián Téglás; Árpád Berta; Márk Jelasity; Vilmos Bilicki (DAIS, 2019)

Adversarial robustness of linear models: regularization and dimensionality. - István Megyeri; István Hegedüs; Márk Jelasity (ESANN, 2019)

Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning. - István Hegedüs; Gábor Danner; Márk Jelasity (PKDD/ECML Workshops (1), 2019)

Anonymous, Fault-Tolerant Distributed Queries for Smart Devices. - Edward Tremel; Ken Birman; Robert Kleinberg; Márk Jelasity (ACM Trans. Cyber Phys. Syst., 2019)

Attacking Model Sets with Adversarial Examples. - István Megyeri; István Hegedüs; Márk Jelasity (ESANN, 2020)

Adversarial Robustness of Model Sets. - István Megyeri; István Hegedüs; Márk Jelasity (IJCNN, 2020)

Modeling Peer-to-Peer Connections over a Smartphone Network. - Árpád Berta; Zoltán Szabó 009; Márk Jelasity (DICG@Middleware, 2020)

Decentralized machine learning using compressed push-pull averaging. - Gábor Danner; István Hegedüs; Márk Jelasity (DICG@Middleware, 2020)

Fooling a Complete Neural Network Verifier. - Dániel Zombori; Balázs Bánhelyi; Tibor Csendes; István Megyeri; Márk Jelasity (ICLR, 2021)

Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. - István Megyeri; István Hegedüs; Márk Jelasity (IJCNN, 2021)

Decentralized learning works: An empirical comparison of gossip learning and federated learning. - István Hegedüs; Gábor Danner; Márk Jelasity (J. Parallel Distributed Comput., 2021)

Hiding Needles in a Haystack: Towards Constructing Neural Networks that Evade Verification. - Árpád Berta; Gábor Danner; István Hegedüs; Márk Jelasity (IH&MMSec, 2022)

Improving Gossip Learning via Limited Model Merging. - Gábor Danner; István Hegedüs; Márk Jelasity (ICCCI (CCIS Volume), 2023)

On the Functional Similarity of Robust and Non-Robust Neural Representations. - András Balogh; Márk Jelasity (ICML, 2023)

On Evaluating the Adversarial Robustness of Semantic Segmentation Models. - Levente Halmosi; Márk Jelasity (CoRR, 2023)

Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off. - Levente Halmosi; Bálint Mohos; Márk Jelasity (ECCV (79), 2024)

Adversarial Training without Hard Labels. - Ammar Al-Najjar; István Megyeri; Márk Jelasity (ESANN, 2024)

How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching. - András Balogh; Márk Jelasity (AAAI, 2025)

Detecting Noisy Labels Using Early Stopped Models. - Lea Hergert; Márk Jelasity (CLD2, 2025)

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks. - Attila Szász; Balázs Bánhelyi; Márk Jelasity (CoRR, 2025)