O'Reilly, Una-May
- Evolving Code with A Large Language Model
2024/01/13 by Erik Hemberg, Hemberg, Erik, Stephen Moskal +3 · 18 citations
Computer Science · Engineering · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #Modular Robots and Swarm Intelligence
- Likely to stop? Predicting Stopout in Massive Open Online Courses
2014/08/14 by Colin Taylor, Taylor, Colin, Kalyan Veeramachaneni +3 · 5 citations
Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Online Learning and Analytics #Online and Blended Learning
- LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing
2023/10/10 by Stephen Moskal, Sam Laney, Moskal, Stephen +5 · 9 citations
Computer Science · Social Sciences · #Cryptography and Security (cs.CR) #Cybersecurity and Cyber Warfare Studies #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Information and Cyber Security #Machine Learning (cs.LG)
- Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
2018/01/09 by Abdullah Al-Dujaili, Al-Dujaili, Abdullah, Alex Huang +5 · 4 citations
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics
2010/07/27 by Greg Durrett, Frank Neumann, Durrett, Greg +4 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Viral Infectious Diseases and Gene Expression in Insects #cs.CC #cs.DS #cs.NE
- There are No Bit Parts for Sign Bits in Black-Box Attacks
2019/02/19 by Abdullah Al-Dujaili, Al-Dujaili, Abdullah, Una-May O’Reilly +1 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms
- Generating Adversarial Computer Programs using Optimized Obfuscations
2021/03/18 by Shashank Srikant, Srikant, Shashank, Sijia Liu +11 · 3 citations
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Software Engineering (cs.SE) #Software Testing and Debugging Techniques
- Towards Feature Engineering at Scale for Data from Massive Open Online Courses
2014/07/20 by Veeramachaneni, Kalyan, O'Reilly, Una-May, Taylor, Colin · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences
- Towards Distributed Coevolutionary GANs
2018/07/21 by Abdullah Al-Dujaili, Al-Dujaili, Abdullah, Tom Schmiedlechner +5 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Vision and Imaging #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE)
- Transfer Learning using Representation Learning in Massive Open Online Courses
2018/12/12 by Mucong Ding, Ding, Mucong, Yanbang Wang +5 · 1 citation
Computer Science · #Computers and Society (cs.CY) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Online Learning and Analytics
- STRATA: Simple, Gradient-Free Attacks for Models of Code
2020/09/28 by Springer, Jacob M., Reinstadler, Bryn Marie, O'Reilly, Una-May · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML
2019/09/30 by Sijia Liu, Songtao Lu, Liu, Sijia +11 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- CLAWSAT: Towards Both Robust and Accurate Code Models
2022/11/21 by Jia, Jinghan, Srikant, Shashank, Mitrovska, Tamara +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Software Engineering (cs.SE)
- Data Dieting in GAN Training
2020/04/07 by Jamal Toutouh, Una-May O’Reilly, Toutouh, Jamal +3 · 1 citation
Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
- Analyzing the Components of Distributed Coevolutionary GAN Training
2020/08/03 by Toutouh, Jamal, Hemberg, Erik, O'Reilly, Una-May · 1 citation
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #and Cluster Computing (cs.DC)
- Signal Propagation in a Gradient-Based and Evolutionary Learning System
2021/02/10 by Toutouh, Jamal, O'Reilly, Una-May · 1 citation
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #and Cluster Computing (cs.DC)