Samuel Mulder

Orcid: 0000-0001-9514-7061

Affiliations:
  • Auburn University, Department of Computer Science and Software Engineering, Auburn, AL, USA
  • Sandia National Laboratories, Albuquerque, NM, USA
  • University of Missouri-Rolla, Department of Computer Science, Rolla, MO, USA (PhD)


According to our database1, Samuel Mulder authored at least 16 papers between 2003 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Immersive sensemaking for binary reverse engineering: a survey and synthesis.
Frontiers Virtual Real., 2026

2025
How Different Tokenization Algorithms Impact LLMs and Transformer Models for Binary Code Analysis.
CoRR, November, 2025

From Bytes to Types: Enhancing Type Prediction in Executables With Transformer-Based Binary Analysis Tool SeeType.
IEEE Access, 2025

Large Language Models as Visualization Agents for Immersive Binary Reverse Engineering.
Proceedings of the IEEE Working Conference on Software Visualization, 2025

Analyzing Competitive Coevolution across Families of N-Player Games through Tree Search.
Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2025

Triaging Firmware Updates for Critical Systems to Defend Against Software Supply Chain Threats.
Proceedings of the Annual Computer Security Applications Conference, 2025

2024
Toward Improving Binary Program Comprehension via Embodied Immersion: A Survey.
CoRR, 2024

A Cognitive Approach to Improving Binary Reverse Engineering with Immersive Virtual Reality.
Proceedings of the IEEE Working Conference on Software Visualization, 2024

A Tabletop Game to Study Business Wargaming in the P-LEO SATCOM Marketplace.
Proceedings of the IEEE Conference on Games, 2024

2017
Tracking Cyber Adversaries with Adaptive Indicators of Compromise.
CoRR, 2017

Improving performance of CDCL SAT solvers by automated design of variable selection heuristics.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2014
Evolving Decision Trees for the Categorization of Software.
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2011
Adaptive Rule-Based Malware Detection Employing Learning Classifier Systems: A Proof of Concept.
Proceedings of the Workshop Proceedings of the 35th Annual IEEE International Computer Software and Applications Conference, 2011

2009
Neural networks and Markov models for the iterated prisoner's dilemma.
Proceedings of the International Joint Conference on Neural Networks, 2009

2003
Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks.
Neural Networks, 2003

Using adaptive resonance theory and local optimization to divide and conquer large scale traveling salesman problems.
Proceedings of the International Joint Conference on Neural Networks, 2003


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