Dominant Takeover Regimes for Genetic Algorithms. - David Noever; Subbiah Baskaran (ICANNGA, 1995)

Möbius Crossover and Excursion Set Mediated Genetic Algorithms. - Subbiah Baskaran; David Noever (ICANNGA, 1997)

Excursion Set Mediated Evolutionary Strategy. - Subbiah Baskaran; David Noever (ICANNGA, 1997)

Time and Size Limited Harvesting Models of Genetic Algorithm. - Subbiah Baskaran; David Noever (ICANNGA, 1999)

Probabilistic and Other Neural Nets in Multi-Hole Probe Calibration and Flow Angularity Pattern Recognition. - Subbiah Baskaran; Narayanan Ramachandran; David Noever (Pattern Anal. Appl., 1999)

Machine Learning Suites for Online Toxicity Detection. - David Noever (CoRR, 2018)

Data Strategies for Fleetwide Predictive Maintenance. - David Noever (CoRR, 2018)

Classifier Suites for Insider Threat Detection. - David Noever (CoRR, 2019)

Training Set Affect on Super Resolution for Automated Target Recognition. - Matthew Ciolino; David Noever; Josh Kalin (CoRR, 2019)

The Go Transformer: Natural Language Modeling for Game Play. - Matthew Ciolino; Josh Kalin; David Noever (AI4I, 2020)

Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. - Josh Kalin; Matthew Ciolino; David Noever; Gerry V. Dozier (AI4I, 2020)

Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures. - David Noever; Wes Regian; Matthew Ciolino; Josh Kalin; Dom Hambrick; Kaye Blankenship (CoRR, 2020)

The Enron Corpus: Where the Email Bodies are Buried? - David Noever (CoRR, 2020)

Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models. - Josh Kalin; David Noever; Gerry V. Dozier (CoRR, 2020)

The Chess Transformer: Mastering Play using Generative Language Models. - David Noever; Matthew Ciolino; Josh Kalin (CoRR, 2020)

Local Translation Services for Neglected Languages. - David Noever; Josh Kalin; Matthew Ciolino; Dom Hambrick; Gerry V. Dozier (CoRR, 2021)

Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks. - Matthew Ciolino; Josh Kalin; David Noever (CoRR, 2021)

Multilingual Augmenter: The Model Chooses. - Matthew Ciolino; David Noever; Josh Kalin (CoRR, 2021)

A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models. - Josh Kalin; David Noever; Matthew Ciolino (CoRR, 2021)

Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models. - Josh Kalin; David Noever; Matthew Ciolino; Dominick Hambrick; Gerry V. Dozier (CoRR, 2021)

Overhead-MNIST: Machine Learning Baselines for Image Classification. - Erik Larsen; David Noever; Korey MacVittie; John Lilly (CoRR, 2021)

Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach. - David Noever; Ryerson Burdick (CoRR, 2021)

A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity. - Erik Larsen; David Noever; Korey MacVittie (CoRR, 2021)

Color Teams for Machine Learning Development. - Josh Kalin; David Noever; Matthew Ciolino (CoRR, 2021)

Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline. - Matthew Ciolino; Dominick Hambrick; David Noever (CoRR, 2022)

Physical Systems Modeled Without Physical Laws. - David Noever; Samuel Hyams (CoRR, 2022)

Soft-labeling Strategies for Rapid Sub-Typing. - Grant Rosario; David Noever; Matthew Ciolino (CoRR, 2022)

Soft Labels for Rapid Satellite Object Detection. - Matthew Ciolino; Grant Rosario; David Noever (CoRR, 2022)

The Turing Deception. - David Noever; Matthew Ciolino (CoRR, 2022)

Chatbots in a Botnet World. - Forrest McKee; David Noever (CoRR, 2022)

Chatbots as Problem Solvers: Playing Twenty Questions with Role Reversals. - David Noever; Forrest McKee (CoRR, 2023)

Chatbots As Fluent Polyglots: Revisiting Breakthrough Code Snippets. - David Noever; Kevin Williams (CoRR, 2023)

Chatbots in a Honeypot World. - Forrest McKee; David Noever (CoRR, 2023)

Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models. - David Noever; Forrest McKee (CoRR, 2023)

Grading Conversational Responses Of Chatbots. - Grant Rosario; David Noever (CoRR, 2023)

Professional Certification Benchmark Dataset: The First 500 Jobs For Large Language Models. - David Noever; Matthew Ciolino (CoRR, 2023)

NUANCE: Near Ultrasound Attack On Networked Communication Environments. - Forrest McKee; David Noever (CoRR, 2023)

Adversarial Agents For Attacking Inaudible Voice Activated Devices. - Forrest McKee; David Noever (CoRR, 2023)

AI Text-to-Behavior: A Study In Steerability. - David Noever; Samuel Hyams (CoRR, 2023)

Can Large Language Models Find And Fix Vulnerable Software? - David Noever (CoRR, 2023)

Acoustic Cybersecurity: Exploiting Voice-Activated Systems. - Forrest McKee; David Noever (CoRR, 2023)

Evaluating AI Vocational Skills Through Professional Testing. - David Noever; Matthew Ciolino (CoRR, 2023)

Satellite Captioning: Large Language Models to Augment Labeling. - Grant Rosario; David Noever (CoRR, 2023)

Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception. - Forrest McKee; David Noever (CoRR, 2024)

Exploiting Alpha Transparency In Language And Vision-Based AI Systems. - David Noever; Forrest McKee (CoRR, 2024)

PICS: Pipeline for Image Captioning and Search. - Grant Rosario; David Noever (CoRR, 2024)

Safeguarding Voice Privacy: Harnessing Near-Ultrasonic Interference To Protect Against Unauthorized Audio Recording. - Forrest McKee; David Noever (CoRR, 2024)

Electrooptical Image Synthesis from SAR Imagery Using Generative Adversarial Networks. - Grant Rosario; David Noever (CoRR, 2024)

Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders. - David Noever; Forrest McKee (CoRR, 2024)

Language Models And A Second Opinion Use Case: The Pocket Professional. - David Noever (CoRR, 2024)

The Impossible Test: A 2024 Unsolvable Dataset and A Chance for an AGI Quiz. - David Noever; Forrest McKee (CoRR, 2024)

Novel AI Camera Camouflage: Face Cloaking Without Full Disguise. - David Noever; Forrest McKee (CoRR, 2024)

Infecting Generative AI With Viruses. - David Noever; Forrest McKee (CoRR, 2025)

Forbidden Science: Dual-Use AI Challenge Benchmark and Scientific Refusal Tests. - David Noever; Forrest McKee (CoRR, 2025)

Beyond No: Quantifying AI Over-Refusal and Emotional Attachment Boundaries. - David Noever; Grant Rosario (CoRR, 2025)

AirTag, You're It: Reverse Logistics and Last Mile Dynamics. - David Noever; Forrest McKee (CoRR, 2025)

AI-Invented Tonal Languages: Preventing a Machine Lingua Franca Beyond Human Understanding. - David Noever (CoRR, 2025)

Dueling QR Codes: The Hyding of Dr. Jeckyl. - David Noever; Forrest McKee (CoRR, 2025)

Alpha Excel Benchmark. - David Noever; Forrest McKee (CoRR, 2025)

Can AI Freelancers Compete? Benchmarking Earnings, Reliability, and Task Success at Scale. - David Noever; Forrest McKee (CoRR, 2025)

Encoding Software For Perpetuity: A Compact Representation Of Apollo 11 Guidance Code. - David Noever (CoRR, 2025)

Favicon Trojans: Executable Steganography Via Ico Alpha Channel Exploitation. - David Noever; Forrest McKee (CoRR, 2025)

Moravec's Paradox: Towards an Auditory Turing Test. - David Noever; Forrest McKee (CoRR, 2025)