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David Noever
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2020 – today
- 2024
- [i44]Forrest McKee, David Noever:
Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception. CoRR abs/2401.15817 (2024) - [i43]David Noever, Forrest McKee:
Exploiting Alpha Transparency In Language And Vision-Based AI Systems. CoRR abs/2402.09671 (2024) - [i42]Grant Rosario, David Noever:
PICS: Pipeline for Image Captioning and Search. CoRR abs/2402.10090 (2024) - [i41]Forrest McKee, David Noever:
Safeguarding Voice Privacy: Harnessing Near-Ultrasonic Interference To Protect Against Unauthorized Audio Recording. CoRR abs/2404.04769 (2024) - [i40]Grant Rosario, David Noever:
Electrooptical Image Synthesis from SAR Imagery Using Generative Adversarial Networks. CoRR abs/2409.15331 (2024) - [i39]David Noever, Forrest McKee:
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders. CoRR abs/2410.06462 (2024) - 2023
- [i38]David Noever, Forrest McKee:
Chatbots as Problem Solvers: Playing Twenty Questions with Role Reversals. CoRR abs/2301.01743 (2023) - [i37]David Noever, Kevin Williams:
Chatbots As Fluent Polyglots: Revisiting Breakthrough Code Snippets. CoRR abs/2301.03373 (2023) - [i36]Forrest McKee, David Noever:
Chatbots in a Honeypot World. CoRR abs/2301.03771 (2023) - [i35]David Noever, Forrest McKee:
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models. CoRR abs/2301.13382 (2023) - [i34]Grant Rosario, David Noever:
Grading Conversational Responses Of Chatbots. CoRR abs/2303.12038 (2023) - [i33]David Noever, Matthew Ciolino:
Professional Certification Benchmark Dataset: The First 500 Jobs For Large Language Models. CoRR abs/2305.05377 (2023) - [i32]Forrest McKee, David Noever:
NUANCE: Near Ultrasound Attack On Networked Communication Environments. CoRR abs/2305.10358 (2023) - [i31]Forrest McKee, David Noever:
Adversarial Agents For Attacking Inaudible Voice Activated Devices. CoRR abs/2307.12204 (2023) - [i30]David Noever, Samuel Hyams:
AI Text-to-Behavior: A Study In Steerability. CoRR abs/2308.07326 (2023) - [i29]David Noever:
Can Large Language Models Find And Fix Vulnerable Software? CoRR abs/2308.10345 (2023) - [i28]Forrest McKee, David Noever:
Acoustic Cybersecurity: Exploiting Voice-Activated Systems. CoRR abs/2312.00039 (2023) - [i27]David Noever, Matthew Ciolino:
Evaluating AI Vocational Skills Through Professional Testing. CoRR abs/2312.10603 (2023) - [i26]Grant Rosario, David Noever:
Satellite Captioning: Large Language Models to Augment Labeling. CoRR abs/2312.10905 (2023) - 2022
- [i25]Matthew Ciolino, Dominick Hambrick, David Noever:
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline. CoRR abs/2203.00116 (2022) - [i24]David Noever, Samuel Hyams:
Physical Systems Modeled Without Physical Laws. CoRR abs/2207.13702 (2022) - [i23]Grant Rosario, David Noever, Matthew Ciolino:
Soft-labeling Strategies for Rapid Sub-Typing. CoRR abs/2209.12684 (2022) - [i22]Matthew Ciolino, Grant Rosario, David Noever:
Soft Labels for Rapid Satellite Object Detection. CoRR abs/2212.00585 (2022) - [i21]David Noever, Matthew Ciolino:
The Turing Deception. CoRR abs/2212.06721 (2022) - [i20]Forrest McKee, David Noever:
Chatbots in a Botnet World. CoRR abs/2212.11126 (2022) - 2021
- [i19]David Noever, Josh Kalin, Matthew Ciolino, Dom Hambrick, Gerry V. Dozier:
Local Translation Services for Neglected Languages. CoRR abs/2101.01628 (2021) - [i18]Matthew Ciolino, Josh Kalin, David Noever:
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks. CoRR abs/2102.09695 (2021) - [i17]Matthew Ciolino, David Noever, Josh Kalin:
Multilingual Augmenter: The Model Chooses. CoRR abs/2102.09708 (2021) - [i16]Josh Kalin, David Noever, Matthew Ciolino:
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models. CoRR abs/2103.02718 (2021) - [i15]Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry V. Dozier:
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models. CoRR abs/2103.15897 (2021) - [i14]Erik Larsen, David Noever, Korey MacVittie, John Lilly:
Overhead-MNIST: Machine Learning Baselines for Image Classification. CoRR abs/2107.00436 (2021) - [i13]David Noever, Ryerson Burdick:
Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach. CoRR abs/2109.02797 (2021) - [i12]Erik Larsen, David Noever, Korey MacVittie:
A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity. CoRR abs/2110.07636 (2021) - [i11]Josh Kalin, David Noever, Matthew Ciolino:
Color Teams for Machine Learning Development. CoRR abs/2110.10601 (2021) - 2020
- [c6]Matthew Ciolino, Josh Kalin, David Noever:
The Go Transformer: Natural Language Modeling for Game Play. AI4I 2020: 23-26 - [c5]Josh Kalin, Matthew Ciolino, David Noever, Gerry V. Dozier:
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. AI4I 2020: 60-63 - [i10]David Noever, Wes Regian, Matthew Ciolino, Josh Kalin, Dom Hambrick, Kaye Blankenship:
Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures. CoRR abs/2001.05839 (2020) - [i9]David Noever:
The Enron Corpus: Where the Email Bodies are Buried? CoRR abs/2001.10374 (2020) - [i8]Josh Kalin, David Noever, Gerry V. Dozier:
Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models. CoRR abs/2006.11130 (2020) - [i7]Matthew Ciolino, David Noever, Josh Kalin:
The Go Transformer: Natural Language Modeling for Game Play. CoRR abs/2007.03500 (2020) - [i6]David Noever, Matthew Ciolino, Josh Kalin:
The Chess Transformer: Mastering Play using Generative Language Models. CoRR abs/2008.04057 (2020) - [i5]Josh Kalin, Matthew Ciolino, David Noever, Gerry V. Dozier:
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. CoRR abs/2009.03136 (2020)
2010 – 2019
- 2019
- [i4]David Noever:
Classifier Suites for Insider Threat Detection. CoRR abs/1901.10948 (2019) - [i3]Matthew Ciolino, David Noever, Josh Kalin:
Training Set Affect on Super Resolution for Automated Target Recognition. CoRR abs/1911.07934 (2019) - 2018
- [i2]David Noever:
Machine Learning Suites for Online Toxicity Detection. CoRR abs/1810.01869 (2018) - [i1]David Noever:
Data Strategies for Fleetwide Predictive Maintenance. CoRR abs/1812.04446 (2018)
1990 – 1999
- 1999
- [j1]Subbiah Baskaran, Narayanan Ramachandran, David Noever:
Probabilistic and Other Neural Nets in Multi-Hole Probe Calibration and Flow Angularity Pattern Recognition. Pattern Anal. Appl. 2(1): 92-98 (1999) - [c4]Subbiah Baskaran, David Noever:
Time and Size Limited Harvesting Models of Genetic Algorithm. ICANNGA 1999: 256-261 - 1997
- [c3]Subbiah Baskaran, David Noever:
Möbius Crossover and Excursion Set Mediated Genetic Algorithms. ICANNGA 1997: 166-170 - [c2]Subbiah Baskaran, David Noever:
Excursion Set Mediated Evolutionary Strategy. ICANNGA 1997: 560-564 - 1995
- [c1]David Noever, Subbiah Baskaran:
Dominant Takeover Regimes for Genetic Algorithms. ICANNGA 1995: 223-226
Coauthor Index
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last updated on 2024-11-18 21:49 CET by the dblp team
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