Pattern classification using teurons. - Moshe Sipper; Hezy Yeshurun (ICPR (1), 1990)

Single-Iteration Threshold Hamming Networks. - Isaac Meilijson; Eytan Ruppin; Moshe Sipper (NIPS, 1992)

A serial complexity measure of neural networks. - Moshe Sipper (ICNN, 1993)

Studying Artificial Life Using a Simple, General Cellular Model. - Moshe Sipper (Artif. Life, 1994)

Cost-performance evaluation of analog neural networks and high order networks. - Moshe Sipper; Yehezkel Yeshurun (Neurocomputing, 1994)

Quasi-Uniform Computation-Universal Cellular Automata. - Moshe Sipper (ECAL, 1995)

A single-iteration threshold Hamming network. - Isaac Meilijson; Eytan Ruppin; Moshe Sipper (IEEE Trans. Neural Networks, 1995)

Studying complex systems using non-uniform cellular automata - Moshe Sipper (1995)

Evolvable Cellular Machines. - Moshe Sipper; Marco Tomassini (ACRI, 1996)

Co-Evolving Cellular Architectures by Cellular Programming. - Moshe Sipper; Eytan Ruppin (International Conference on Evolutionary Computation, 1996)

Online Autonomous Evolware. - Maxime Goeke; Moshe Sipper; Daniel Mange; André Stauffer; Eduardo Sanchez; Marco Tomassini (ICES, 1996)

Speeding-up Digital Ecologies Evolution Using a Hardware Emulator: Preliminary Results. - Pierre Marchal; Pascal Nussbaum; Christian Piguet; Moshe Sipper (ICES, 1996)

Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware. - Eduardo Sanchez; Daniel Mange; Moshe Sipper; Marco Tomassini; Andrés Pérez-Uribe; André Stauffer (ICES, 1996)

Designing Evolware by Cellular Programming. - Moshe Sipper (ICES, 1996)

Co-evolving Parallel Random Number Generators. - Moshe Sipper; Marco Tomassini (PPSN, 1996)

Evolution of Parallel Cellular Machines, The Cellular Programming Approach - Moshe Sipper (Springer, 1997)

Evolving Asynchronous and Scalable Non-uniform Cellular Automata. - Moshe Sipper; Marco Tomassini; Mathieu S. Capcarrère (ICANNGA, 1997)

The firefly machine: online evolware. - Moshe Sipper; Maxime Goeke; Daniel Mange; André Stauffer; Eduardo Sanchez; Marco Tomassini (ICEC, 1997)

A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. - Moshe Sipper; Eduardo Sanchez; Daniel Mange; Marco Tomassini; Andrés Pérez-Uribe; André Stauffer (IEEE Trans. Evol. Comput., 1997)

Fast computation in hamming and hopfield networks. - Isaac Meilijson; Eytan Ruppin; Moshe Sipper (Algorithms and Architectures, 1998)

Some Applications of FPGAs in Bio-Inspired Hardware. - André Stauffer; Moshe Sipper; Andrés Pérez-Uribe (FCCM, 1998)

Modeling Cellular Development Using L-Systems. - André Stauffer; Moshe Sipper (ICES, 1998)

Studying Parallel Evolutionary Algorithms: The Cellular Programming Case. - Mathieu S. Capcarrère; Andrea Tettamanzi; Marco Tomassini; Moshe Sipper (PPSN, 1998)

Simple + Parallel + Local = Cellular Computing. - Moshe Sipper (PPSN, 1998)

Fifty Years of Research on Self-Replication: An Overview. - Moshe Sipper (Artif. Life, 1998)

Von Neumann's Quintessential Message: Genotype + Ribotype = Phenotype. - Moshe Sipper; Daniel Mange (Artif. Life, 1998)

Testing for Emergence in Artificial Life. - Edmund M. A. Ronald; Moshe Sipper; Mathieu S. Capcarrère (ECAL, 1999)

Design, Observation, Surprise! A Test of Emergence. - Edmund M. A. Ronald; Moshe Sipper; Mathieu S. Capcarrère (Artif. Life, 1999)

A fuzzy-genetic approach to breast cancer diagnosis. - Carlos Andrés Peña-Reyes; Moshe Sipper (Artif. Intell. Medicine, 1999)

Quo Vadis Evolvable Hardware? - Moshe Sipper; Daniel Mange; Eduardo Sanchez (Commun. ACM, 1999)

Notes on the origin of evolutionary computation. - Moshe Sipper (Complex., 1999)

The Emergence of Cellular Computing. - Moshe Sipper (Computer, 1999)

A Statistical Study of a Class of Cellular Evolutionary Algorithms. - Mathieu S. Capcarrère; Andrea Tettamanzi; Marco Tomassini; Moshe Sipper (Evol. Comput., 1999)

Generating high-quality random numbers in parallel by cellular automata. - Marco Tomassini; Moshe Sipper; Mosé Zolla; Mathieu Perrenoud (Future Gener. Comput. Syst., 1999)

Static and Dynamic Configurable Systems. - Eduardo Sanchez; Moshe Sipper; Jacques-Olivier Haenni; Jean-Luc Beuchat; André Stauffer; Andrés Pérez-Uribe (IEEE Trans. Computers, 1999)

Computation in Artificially Evolved, Non-Uniform Cellular Automata. - Moshe Sipper; Marco Tomassini (Theor. Comput. Sci., 1999)

Evolvable systems 1998-Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware (ICES'98) . - Moshe Sipper; Daniel Mange; Andrés Pérez-Uribe (IEEE Trans. Evol. Comput., 1999)

Applying Fuzzy CoCo to breast cancer diagnosis. - Carlos A. Peña-Reyes; Moshe Sipper (CEC, 2000)

Slate of the Art: An Evolving FPGA-Based Board for Handwritten-Digit Recognition. - Ron Levy; Stefano Lepri; Eduardo Sanchez; Gilles Ritter; Moshe Sipper (Evolvable Hardware, 2000)

Toward Self-Repairing and Self-Replicating Hardware: The Embryonics Approach. - Daniel Mange; Moshe Sipper; André Stauffer; Gianluca Tempesti (Evolvable Hardware, 2000)

Evolutionary computation in medicine: an overview. - Carlos Andrés Peña-Reyes; Moshe Sipper (Artif. Intell. Medicine, 2000)

What use is a turing chatterbox? - Edmund M. A. Ronald; Moshe Sipper (Commun. ACM, 2000)

A success story or an old wives' tale? On judging experiments in evolutionary computation. - Moshe Sipper (Complex., 2000)

The Challenge of Tamperproof Internet Computing. - Edmund M. A. Ronald; Moshe Sipper (Computer, 2000)

Configurable Chips Meld Software and Hardware. - Moshe Sipper; Eduardo Sanchez (Computer, 2000)

Toward robust integrated circuits: The embryonics approach. - Daniel Mange; Moshe Sipper; André Stauffer; Gianluca Tempesti (Proc. IEEE, 2000)

On the Generation of High-Quality Random Numbers by Two-Dimensional Cellular Automata. - Marco Tomassini; Moshe Sipper; Mathieu Perrenoud (IEEE Trans. Computers, 2000)

Externally Controllable and Destructible Self-Replicating Loops. - André Stauffer; Moshe Sipper (ECAL, 2001)

On the Origin of Environments by Means of Natural Selection. - Moshe Sipper (AI Mag., 2001)

Intelligence is not Enough: On the Socialization of Talking Machines. - Edmund M. A. Ronald; Moshe Sipper (Minds Mach., 2001)

Surprise versus unsurprise: Implications of emergence in robotics. - Edmund M. A. Ronald; Moshe Sipper (Robotics Auton. Syst., 2001)

Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling. - Carlos Andrés Peña-Reyes; Moshe Sipper (IEEE Trans. Fuzzy Syst., 2001)

Emergence of Self-Replicating Loops in an Interactive, Hardware-Implemented Game-of-Life Environment. - André Stauffer; Moshe Sipper (ACRI, 2002)

Sensitive, specific, and interpretable: evolving a fuzzy mammographic-interpretation assessment tool. - Carlos Andrés Peña-Reyes; Moshe Sipper; Luis Prieto (FUZZ-IEEE, 2002)

An Interactive Self-Replicator Implemented in Hardware. - André Stauffer; Moshe Sipper (Artif. Life, 2002)

Hypercomputation: hype or computation?. - Christof Teuscher; Moshe Sipper (Commun. ACM, 2002)

Biomorphs Implemented as a Data and Signals Cellular Automaton. - André Stauffer; Moshe Sipper (ECAL, 2003)

Data and Signals: A New Kind of Cellular Automaton for Growing Systems. - André Stauffer; Moshe Sipper (Evolvable Hardware, 2003)

Evolutionary Plantographics. - Alon Gal; Gady Mahal; Moshe Sipper (Artif. Life, 2003)

A Novel Ant Algorithm for Solving the Minimum Broadcast Time Problem. - Yehudit Hasson; Moshe Sipper (PPSN, 2004)

The Data-and-Signals Cellular Automaton and Its Application to Growing Structures. - André Stauffer; Moshe Sipper (Artif. Life, 2004)

The preservation of favored building blocks in the struggle for fitness: the puzzle algorithm. - Assaf Zaritsky; Moshe Sipper (IEEE Trans. Evol. Comput., 2004)

Using GP-Gammon: Using Genetic Programming to Evolve Backgammon Players. - Yaniv Azaria; Moshe Sipper (EuroGP, 2005)

GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players. - Ami Hauptman; Moshe Sipper (EuroGP, 2005)

GP-Robocode: Using Genetic Programming to Evolve Robocode Players. - Yehonatan Shichel; Eran Ziserman; Moshe Sipper (EuroGP, 2005)

GP-Gammon: Genetically Programming Backgammon Players. - Yaniv Azaria; Moshe Sipper (Genet. Program. Evolvable Mach., 2005)

Attaining Human-Competitive Game Playing with Genetic Programming. - Moshe Sipper (ACRI, 2006)

Book ReviewKinematic Self-Replicating Machines.Robert A. Freitas, Jr., andRalph C. Merkle. (2004 Landes Bioscience.) $150.00, xxi+341 pp. - Moshe Sipper (Artif. Life, 2006)

GP-Sumo: Using genetic programming to evolve sumobots. - Shai Sharabi; Moshe Sipper (Genet. Program. Evolvable Mach., 2006)

Guest Editors Introduction: Special Issue on Modelling of Complex Systems by Cellular Automata. - Jirí Kroc; Roland Vollmar; Moshe Sipper; Samira El Y. Coubi (J. Cell. Autom., 2006)

Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess. - Ami Hauptman; Moshe Sipper (EuroGP, 2007)

Emergence of Complex Strategies in the Evolution of Chess Endgame Players. - Ami Hauptman; Moshe Sipper (Adv. Complex Syst., 2007)

Finding a Common Motif of RNA Sequences Using Genetic Programming: The GeRNAMo System. - Shahar Michal; Tor Ivry; Omer Cohen; Moshe Sipper; Danny Barash (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Designing an Evolutionary Strategizing Machine for Game Playing and Beyond. - Moshe Sipper; Yaniv Azaria; Ami Hauptman; Yehonatan Shichel (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Evolving an Automatic Defect Classification Tool. - Assaf Glazer; Moshe Sipper (EvoWorkshops, 2008)

Evolutionary computation & games. - Moshe Sipper (GECCO (Companion), 2008)

Evolving boundary detectors for natural images via Genetic Programming. - Ilan Kadar; Ohad Ben-Shahar; Moshe Sipper (ICPR, 2008)

Introduction to Special Section on Evolutionary Computation in Games. - Moshe Sipper; Mario Giacobini (Genet. Program. Evolvable Mach., 2008)

Evolving Efficient List Search Algorithms. - Kfir Wolfson; Moshe Sipper (Artificial Evolution, 2009)

GP-rush: using genetic programming to evolve solvers for the rush hour puzzle. - Ami Hauptman; Achiya Elyasaf; Moshe Sipper; Assaf Karmon (GECCO, 2009)

Evolution of a local boundary detector for natural images via genetic programming and texture cues. - Ilan Kadar; Ohad Ben-Shahar; Moshe Sipper (GECCO, 2009)

Genetic programming in the wild: evolving unrestricted bytecode. - Michael Orlov; Moshe Sipper (GECCO, 2009)

Genetic and Evolutionary Algorithms and Programming: General Introduction and Application to Game Playing. - Michael Orlov; Moshe Sipper; Ami Hauptman (Encyclopedia of Complexity and Systems Science, 2009)

Evolving Lose-Checkers players using genetic programming. - Amit Benbassat; Moshe Sipper (CIG, 2010)

Evolving Hyper Heuristic-Based Solvers for Rush Hour and FreeCell. - Ami Hauptman; Achiya Elyasaf; Moshe Sipper (SOCS, 2010)

Evolutionary Games. - Moshe Sipper (Encyclopedia of Machine Learning, 2010)

Genetic Programming. - Moshe Sipper (Encyclopedia of Machine Learning, 2010)

Evolving board-game players with genetic programming. - Amit Benbassat; Moshe Sipper (GECCO (Companion), 2011)

GA-FreeCell: evolving solvers for the game of FreeCell. - Achiya Elyasaf; Ami Hauptman; Moshe Sipper (GECCO, 2011)

Evolving Solvers for FreeCell and the Sliding-Tile Puzzle. - Achiya Elyasaf; Yael Zaritsky; Ami Hauptman; Moshe Sipper (SOCS, 2011)

Automatic Evolution of Java-Written Game Heuristics. - Michael Orlov; Carmel Bregman; Moshe Sipper (SSBSE, 2011)

Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis. - Kfir Wolfson; Shay Zakov; Moshe Sipper; Michal Ziv-Ukelson (Genet. Program. Evolvable Mach., 2011)

GP-RARS: evolving controllers for the Robot Auto Racing Simulator. - Yehonatan Shichel; Moshe Sipper (Memetic Comput., 2011)

Flight of the FINCH Through the Java Wilderness. - Michael Orlov; Moshe Sipper (IEEE Trans. Evol. Comput., 2011)

Evolving both search and strategy for Reversi players using genetic programming. - Amit Benbassat; Moshe Sipper (CIG, 2012)

Evolving players that use selective game-tree search with genetic programming. - Amit Benbassat; Moshe Sipper (GECCO (Companion), 2012)

Evolutionary Design of FreeCell Solvers. - Achiya Elyasaf; Ami Hauptman; Moshe Sipper (IEEE Trans. Comput. Intell. AI Games, 2012)

Ubiquity symposium: Evolutionary computation and the processes of life: Darwinian software engineering: the short term, the middle ground, and the long haul. - Moshe Sipper (Ubiquity, 2012)

EvoMCTS: Enhancing MCTS-based players through genetic programming. - Amit Benbassat; Moshe Sipper (CIG, 2013)

Search in Real-Time Video Games. - Peter I. Cowling; Michael Buro; Michal Bída; Adi Botea; Bruno Bouzy; Martin V. Butz; Philip Hingston; Hector Muñoz-Avila; Dana S. Nau; Moshe Sipper (Artificial and Computational Intelligence in Games, 2013)

Evolving artificial neural networks with FINCH. - Amit Benbassat; Moshe Sipper (GECCO (Companion), 2013)

A heuristiclab evolutionary algorithm for FINCH. - Achiya Elyasaf; Michael Orlov; Moshe Sipper (GECCO (Companion), 2013)

HH-evolver: a system for domain-specific, hyper-heuristic evolution. - Achiya Elyasaf; Moshe Sipper (GECCO (Companion), 2013)

From size perception to counting: an evolutionary computation point of view. - Gali Katz; Amit Benbassat; Liana Diesendruck; Moshe Sipper; Avishai Henik (GECCO (Companion), 2013)

Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn? - Karthik Kannappan; Lee Spector; Moshe Sipper; Thomas Helmuth; William G. La Cava; Jake Wisdom; Omri Bernstein (GPTP, 2014)

Software review: the HeuristicLab framework. - Achiya Elyasaf; Moshe Sipper (Genet. Program. Evolvable Mach., 2014)

Special issue on GECCO competitions. - Daniele Loiacono; Moshe Sipper (Genet. Program. Evolvable Mach., 2014)

Commentary on "Genetic Programming and Emergence". - Moshe Sipper (Genet. Program. Evolvable Mach., 2014)

EvoMCTS: A Scalable Approach for General Game Learning. - Amit Benbassat; Moshe Sipper (IEEE Trans. Comput. Intell. AI Games, 2014)

Learning Heuristics for Mining RNA Sequence-Structure Motifs. - Achiya Elyasaf; Pavel Vaks; Nimrod Milo; Moshe Sipper; Michal Ziv-Ukelson (GPTP, 2015)

Evolving Artificial General Intelligence for Video Game Controllers. - Itay Azaria; Achiya Elyasaf; Moshe Sipper (GPTP, 2016)

A System for Accessible Artificial Intelligence. - Randal S. Olson; Moshe Sipper; William G. La Cava; Sharon Tartarone; Steven Vitale; Weixuan Fu; Patryk Orzechowski; Ryan J. Urbanowicz; John H. Holmes; Jason H. Moore (GPTP, 2017)

Artificial intelligence: more human with human. - Moshe Sipper; Jason H. Moore (BioData Min., 2017)

Evolutionary computation: the next major transition of artificial intelligence? - Moshe Sipper; Randal S. Olson; Jason H. Moore (BioData Min., 2017)

A System for Accessible Artificial Intelligence. - Randal S. Olson; Moshe Sipper; William G. La Cava; Sharon Tartarone; Steven Vitale; Weixuan Fu; John H. Holmes; Jason H. Moore (CoRR, 2017)

From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (CoRR, 2017)

Paul Rendell: Turing machine universality of the Game of Life - Springer International Publishing, Switzerland, XV, 177 (141 b/w illustrations), ISBN: eBook 978-3-319-19842-2, Hardcover 978-3-319-19841-5, Softcover 978-3-319-37044-6. - Moshe Sipper (Genet. Program. Evolvable Mach., 2017)

Evolutionary Games. - Moshe Sipper (Encyclopedia of Machine Learning and Data Mining, 2017)

Genetic Programming. - Moshe Sipper (Encyclopedia of Machine Learning and Data Mining, 2017)

Grammatical Evolution Strategies for Bioinformatics and Systems Genomics. - Jason H. Moore; Moshe Sipper (Handbook of Grammatical Evolution, 2018)

EBIC: a next-generation evolutionary-based parallel biclustering method. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (GECCO (Companion), 2018)

Evolutionary computation: an investigation of parameter space. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (GECCO (Companion), 2018)

Investigating the parameter space of evolutionary algorithms. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (BioData Min., 2018)

To know the objective is not (necessarily) to know the objective function. - Moshe Sipper; Ryan J. Urbanowicz; Jason H. Moore (BioData Min., 2018)

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (Bioinform., 2018)

EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (CoRR, 2018)

Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. - Moshe Sipper; Jason H. Moore; Ryan J. Urbanowicz (CEC, 2019)

Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. - Moshe Sipper; Jason H. Moore; Ryan J. Urbanowicz (EuroGP, 2019)

Discovering test statistics using genetic programming. - Jason H. Moore; Randal S. Olson; Yong Chen 016; Moshe Sipper (GECCO (Companion), 2019)

New Pathways in Coevolutionary Computation. - Moshe Sipper; Jason H. Moore; Ryan J. Urbanowicz (GPTP, 2019)

Correction to: Investigating the parameter space of evolutionary algorithms. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (BioData Min., 2019)

Automated discovery of test statistics using genetic programming. - Jason H. Moore; Randal S. Olson; Yong Chen 016; Moshe Sipper (Genet. Program. Evolvable Mach., 2019)

OMNIREP: originating meaning by coevolving encodings and representations. - Moshe Sipper; Jason H. Moore (Memetic Comput., 2019)

Coevolving Artistic Images Using OMNIREP. - Moshe Sipper; Jason H. Moore; Ryan J. Urbanowicz (EvoMUSART, 2020)

Evolutionary algorithms in biomedical data mining: challenges, solutions, and frontiers. - Ryan J. Urbanowicz; Moshe Sipper (GECCO Companion, 2020)

Conservation machine learning. - Moshe Sipper; Jason H. Moore (BioData Min., 2020)

Genetic programming theory and practice: a fifteen-year trajectory. - Moshe Sipper; Jason H. Moore (Genet. Program. Evolvable Mach., 2020)

Gamorithm. - Moshe Sipper; Jason H. Moore (IEEE Trans. Games, 2020)

Symbolic-regression boosting. - Moshe Sipper; Jason H. Moore (Genet. Program. Evolvable Mach., 2021)

Neural Networks with À La Carte Selection of Activation Functions. - Moshe Sipper (SN Comput. Sci., 2021)

Evolution of activation functions for deep learning-based image classification. - Raz Lapid; Moshe Sipper (GECCO Companion, 2022)

Binary and multinomial classification through evolutionary symbolic regression. - Moshe Sipper (GECCO Companion, 2022)

Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution. - Eyal Segal; Moshe Sipper (IJCCI, 2022)

An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks. - Raz Lapid; Zvika Haramaty; Moshe Sipper (Algorithms, 2022)

High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms. - Moshe Sipper (Algorithms, 2022)

Artificial General Intelligence: Pressure Cooker or Crucible? - Moshe Sipper (Computer, 2022)

Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE). - Moshe Sipper; Jason H. Moore; Ryan J. Urbanowicz (CoRR, 2022)

Attackar: Attack of the Evolutionary Adversary. - Raz Lapid; Zvika Haramaty; Moshe Sipper (CoRR, 2022)

A Melting Pot of Evolution and Learning. - Moshe Sipper; Achiya Elyasaf; Tomer Halperin; Zvika Haramaty; Raz Lapid; Eyal Segal; Itai Tzruia; Snir Vitrack Tamam (GPTP, 2023)

I See Dead People: Gray-Box Adversarial Attack on Image-to-Text Models. - Raz Lapid; Moshe Sipper (PKDD/ECML Workshops (5), 2023)

Classy Ensemble: A Novel Ensemble Algorithm for Classification. - Moshe Sipper (CoRR, 2023)

Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors. - Raz Lapid; Moshe Sipper (CoRR, 2023)

Open Sesame! Universal Black Box Jailbreaking of Large Language Models. - Raz Lapid; Ron Langberg; Moshe Sipper (CoRR, 2023)

Fitness Approximation through Machine Learning. - Itai Tzruia; Tomer Halperin; Moshe Sipper; Achiya Elyasaf (CoRR, 2023)

Combining Deep Learning with Good Old-Fashioned Machine Learning. - Moshe Sipper (SN Comput. Sci., 2023)

Foiling Explanations in Deep Neural Networks. - Snir Vitrack Tamam; Raz Lapid; Moshe Sipper (Trans. Mach. Learn. Res., 2023)

EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration. - Moshe Sipper; Tomer Halperin; Itai Tzruia; Achiya Elyasaf (SoftwareX, 2023)

Task and Explanation Network. - Moshe Sipper (CoRR, 2024)

Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors. - Raz Lapid; Almog Dubin; Moshe Sipper (CoRR, 2024)

Deep Learning-Based Operators for Evolutionary Algorithms. - Eliad Shem Tov; Moshe Sipper; Achiya Elyasaf (CoRR, 2024)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors. - Ben Pinhasov; Raz Lapid; Rony Ohayon; Moshe Sipper; Yehudit Aperstein (Trans. Mach. Learn. Res., 2024)

On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective. - Tao Daniel Alter; Raz Lapid; Moshe Sipper (Trans. Mach. Learn. Res., 2025)

Pulling Back the Curtain: Unsupervised Adversarial Detection via Contrastive Auxiliary Networks. - Eylon Mizrahi; Raz Lapid; Moshe Sipper (CoRR, 2025)

Don't Lag, RAG: Training-Free Adversarial Detection Using RAG. - Roie Kazoom; Raz Lapid; Moshe Sipper; Ofer Hadar (CoRR, 2025)