Una-May O'Reilly

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 130

Top Venues

Publications

Erik Hemberg, Stephen Moskal, Una-May O'Reilly
Evolving Code with A Large Language Model. CoRR (2024)
Una-May O'Reilly, Erik Hemberg
Genetic Programming: A Tutorial Introduction. GECCO Companion (2023)
Shashank Srikant, Anna A. Ivanova, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Evelina Fedorenko, Marina U. Bers, Una-May O'Reilly
Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain. CoRR (2023)
Jamal Toutouh, Una-May O'Reilly
Coevolutionary Computation for Adversarial Deep Learning. GECCO Companion (2023)
Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. GECCO (2023)
Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly
Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification. Appl. Soft Comput. 148 (2023)
Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
ClawSAT: Towards Both Robust and Accurate Code Models. SANER (2023)
Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly
Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. GECCO (2023)
Aruna Sankaranarayanan, Erik Hemberg, Una-May O'Reilly
The Facebook Algorithm's Active Role in Climate Advertisement Delivery. CoRR (2023)
Michael Wang, Shashank Srikant, Malavika Samak, Una-May O'Reilly
RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms. SOAP@PLDI (2023)
ByeongJo Kong, Erik Hemberg, Ana Bell, Una-May O'Reilly
Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing. LAK (2023)
Stephen Moskal, Sam Laney, Erik Hemberg, Una-May O'Reilly
LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing. CoRR (2023)
Alexander Shashkov, Erik Hemberg, Miguel Tulla, Una-May O'Reilly
Adversarial agent-learning for cybersecurity: a comparison of algorithms. Knowl. Eng. Rev. 38 (2023)
Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
CLAWSAT: Towards Both Robust and Accurate Code Models. CoRR (2022)
Matthew J. Turner, Erik Hemberg, Una-May O'Reilly
Analyzing multi-agent reinforcement learning and coevolution in cybersecurity. GECCO (2022)
Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly
Exploiting Knowledge from Code to Guide Program Search. EuroGP (2022)
Özlem Özmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo Baggio, Erik Hemberg, Chathura Jayalath, Alexander V. Mantzaris, Bruce Miller, Una-May O'Reilly, William Rand, Chathurani Senevirathna, Ivan Garibay
Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC (2022)
Stephen Moskal, Erik Hemberg, Una-May O'Reilly
CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign. GECCO Companion (2022)
Sabrina Tseng, Erik Hemberg, Una-May O'Reilly
Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking. EuroGP (2022)
Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly
GUI-based, efficient genetic programming for Unity3D. GECCO Companion (2022)
Shashank Srikant, Ben Lipkin, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly
Convergent Representations of Computer Programs in Human and Artificial Neural Networks. NeurIPS (2022)
Jamal Toutouh, Una-May O'Reilly
Coevolutionary computation for adversarial deep learning. GECCO Companion (2022)
Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. GECCO Companion (2022)
Jaeyoon Kim, Una-May O'Reilly, Junhee Seok
Computer Code Representation through Natural Language Processing for fMRI Data Analysis. ICAIIC (2022)
Diana Flores, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly
Coevolutionary generative adversarial networks for medical image augumentation at scale. GECCO (2022)
Jordan Wick, Erik Hemberg, Una-May O'Reilly
Getting a Head Start on Program Synthesis with Genetic Programming. EuroGP (2021)
Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly, Franz Rothlauf
Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution. GECCO Companion (2021)
Erik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, Tom Schmiedlechner, Una-May O'Reilly
Spatial Coevolution for Generative Adversarial Network Training. ACM Trans. Evol. Learn. Optim. 1 (2) (2021)
Prakruthi Karuna, Erik Hemberg, Una-May O'Reilly, Nick Rutar
Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation. CoRR (2021)
Jamal Toutouh, Una-May O'Reilly
Coevolutionary computation for adversarial deep learning. GECCO Companion (2021)
Michal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly
Coevolutionary modeling of cyber attack patterns and mitigations using public datasets. GECCO (2021)
Chathika Gunaratne, Rene Reyes, Erik Hemberg, Una-May O'Reilly
Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework. CoRR (2021)
Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
Generating Adversarial Computer Programs using Optimized Obfuscations. ICLR (2021)
Alexander Shashkov, Robert Gold, Erik Hemberg, ByeongJo Kong, Ana Bell, Una-May O'Reilly
Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs. L@S (2021)
Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. GECCO Companion (2021)
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks. CoRR (2021)
Jamal Toutouh, Una-May O'Reilly
Signal propagation in a gradient-based and evolutionary learning system. GECCO (2021)
Erik Hemberg, Una-May O'Reilly
Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence. CoRR (2021)
Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
Generating Adversarial Computer Programs using Optimized Obfuscations. CoRR (2021)
Una-May O'Reilly, Erik Hemberg
Genetic programming: a tutorial introduction. GECCO Companion (2021)
John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg, Una-May O'Reilly, Ahmad Ridley, Dennis Ross, Diane Staheli, William W. Streilein
Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021. CoRR (2021)
Jamal Toutouh, Una-May O'Reilly
Signal Propagation in a Gradient-Based and Evolutionary Learning System. CoRR (2021)
Robert Gold, Erik Hemberg, Una-May O'Reilly
Analyzing K-12 Blended MOOC Learning Behaviors. L@S (2020)
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. ICML (2020)
Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Marie Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly
BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations. CoRR (2020)
Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters. CoRR (2020)
Hao Shen, Leming Liang, Nancy Law, Erik Hemberg, Una-May O'Reilly
Understanding Learner Behavior Through Learning Design Informed Learning Analytics. L@S (2020)
Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Parallel/distributed implementation of cellular training for generative adversarial neural networks. IPDPS Workshops (2020)
Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Parallel/distributed implementation of cellular training for generative adversarial neural networks. CoRR (2020)
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Analyzing the Components of Distributed Coevolutionary GAN Training. PPSN (1) (2020)
Jacob M. Springer, Bryn Marie Reinstadler, Una-May O'Reilly
STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code. CoRR (2020)
Abdullah Al-Dujaili, Una-May O'Reilly
Sign Bits Are All You Need for Black-Box Attacks. ICLR (2020)
Shashank Srikant, Nicolas Lesimple, Una-May O'Reilly
Dependency-Based Neural Representations for Classifying Lines of Programs. CoRR (2020)
Jamal Toutouh, Una-May O'Reilly, Erik Hemberg
Data Dieting in GAN Training. CoRR (2020)
Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg
Adversarial genetic programming for cyber security: a rising application domain where GP matters. Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Michal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly
Securing the software defined perimeter with evolutionary co-optimization. GECCO Companion (2020)
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Analyzing the Components of Distributed Coevolutionary GAN Training. CoRR (2020)
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Re-purposing heterogeneous generative ensembles with evolutionary computation. GECCO (2020)
Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS (2020)
Una-May O'Reilly, Erik Hemberg
Genetic programming: a tutorial introduction. GECCO Companion (2020)
Hannah Burd, Ana Bell, Erik Hemberg, Una-May O'Reilly
Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC. L@S (2020)
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation. CoRR (2020)
Jonathan Kelly, Michael DeLaus, Erik Hemberg, Una-May O'Reilly
Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network. IM (2019)
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Spatial evolutionary generative adversarial networks. GECCO (2019)
Erik Hemberg, Jonathan Kelly, Una-May O'Reilly
On domain knowledge and novelty to improve program synthesis performance with grammatical evolution. GECCO (2019)
Erik Hemberg, Sagar Biswas, Ayesha Bajwa, Nancy Law, Una-May O'Reilly
Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & Doing. LWMOOCS (2019)
Abdullah Al-Dujaili, Una-May O'Reilly
There are No Bit Parts for Sign Bits in Black-Box Attacks. CoRR (2019)
Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly
Using Detailed Access Trajectories for Learning Behavior Analysis. LAK (2019)
Ayesha Bajwa, Erik Hemberg, Ana Bell, Una-May O'Reilly
Student Code Trajectories in an Introductory Programming MOOC. L@S (2019)
Una-May O'Reilly, Erik Hemberg
Introduction to genetic programming. GECCO (Companion) (2019)
Li Wang, Erik Hemberg, Una-May O'Reilly
The Influence of Grades on Learning Behavior in MOOCs: Certification vs, Continued Participation. LWMOOCS (2019)
Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly
Transfer Learning using Representation Learning in Massive Open Online Courses. LAK (2019)
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Spatial Evolutionary Generative Adversarial Networks. CoRR (2019)
Sagar Biswas, Nancy Law, Erik Hemberg, Una-May O'Reilly
Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS. L@S (2019)
Li Wang, Erik Hemberg, Una-May O'Reilly
On the Influence of Grades on Learning Behavior of Students in MOOCs. L@S (2019)
Jonathan Kelly, Erik Hemberg, Una-May O'Reilly
Improving Genetic Programming with Novel Exploration - Exploitation Control. EuroGP (2019)
Jitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly
How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs. LWMOOCS (2019)
Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly
Analyzing Student Code Trajectories in an Introductory Programming MOOC. LWMOOCS (2019)
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. CoRR (2019)
Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly
Transfer Learning using Representation Learning in Massive Open Online Courses. CoRR (2018)
Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. CoRR (2018)
Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
Towards Distributed Coevolutionary GANs. CoRR (2018)
Erik Hemberg, Joseph R. Zipkin, Richard William Skowyra, Neal Wagner, Una-May O'Reilly
Adversarial co-evolution of attack and defense in a segmented computer network environment. GECCO (Companion) (2018)
Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach. CoRR (2018)
Ruggiero Dargenio, Shashank Srikant, Erik Hemberg, Una-May O'Reilly
Exploring the Use of Autoencoders for Botnets Traffic Representation. IEEE Symposium on Security and Privacy Workshops (2018)
Una-May O'Reilly
Genetic programming: a tutorial introduction. GECCO (Companion) (2018)
Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly
AST-Based Deep Learning for Detecting Malicious PowerShell. CoRR (2018)
Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly
AST-Based Deep Learning for Detecting Malicious PowerShell. CCS (2018)
Daniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly
Competitive coevolutionary algorithm decision support. GECCO (Companion) (2018)
Una-May O'Reilly, Erik Hemberg
An Artificial Coevolutionary Framework for Adversarial AI. AAAI Fall Symposium: ALEC (2018)
Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly
On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization. CoRR (2018)
Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. CoRR (2018)
Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. IEEE Symposium on Security and Privacy Workshops (2018)
Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
On Visual Hallmarks of Robustness to Adversarial Malware. CoRR (2018)
Tom Schmiedlechner, Ignavier Ng Zhi Yong, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
Lipizzaner: A System That Scales Robust Generative Adversarial Network Training. CoRR (2018)
Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly
Using Detailed Access Trajectories for Learning Behavior Analysis. CoRR (2018)
Steven B. Fine, Erik Hemberg, Krzysztof Krawiec, Una-May O'Reilly
Exploiting Subprograms in Genetic Programming. GPTP (2017)
Stjepan Picek, Erik Hemberg, Una-May O'Reilly
If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics. MTD@CCS (2017)
Stjepan Picek, Erik Hemberg, Domagoj Jakobovic, Una-May O'Reilly
One-Class Classification of Low Volume DoS Attacks with Genetic Programming. GPTP (2017)
Miguel Paredes, Erik Hemberg, Una-May O'Reilly, Chris Zegras
Machine learning or discrete choice models for car ownership demand estimation and prediction? MT-ITS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Una-May O'Reilly