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Michael C. King
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2020 – today
- 2024
- [c27]Aman Bhatta, Domingo Mery, Haiyu Wu, Joyce Annan, Michael C. King, Kevin W. Bowyer:
Our Deep CNN Face Matchers Have Developed Achromatopsia. CVPR Workshops 2024: 142-152 - [c26]Aman Bhatta, Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer:
Impact of Blur and Resolution on Demographic Disparities in 1-to-Many Facial Identification. WACV (Workshops) 2024: 422-430 - [c25]Gabriella Pangelinan, Xavier Merino, Samuel Langborgh, Kushal Vangara, Joyce Annan, Audison Beaubrun, Troy R. Weekes, Michael C. King:
The CHROMA-FIT Dataset: Characterizing Human Ranges of Melanin For Increased Tone-awareness. WACV (Workshops) 2024: 1170-1178 - [i15]Haiyu Wu, Sicong Tian, Aman Bhatta, Jacob Gutierrez, Grace Bezold, Genesis Argueta, Karl Ricanek Jr., Michael C. King, Kevin W. Bowyer:
What is a Goldilocks Face Verification Test Set? CoRR abs/2405.15965 (2024) - 2023
- [c24]Haiyu Wu, Vítor Albiero, K. S. Krishnapriya, Michael C. King, Kevin W. Bowyer:
Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem. CVPR Workshops 2023: 1041-1050 - [c23]Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer:
Consistency and Accuracy of CelebA Attribute Values. CVPR Workshops 2023: 3258-3266 - [c22]Aman Bhatta, Vítor Albiero, Kevin W. Bowyer, Michael C. King:
The Gender Gap in Face Recognition Accuracy Is a Hairy Problem. WACV (Workshops) 2023: 1-10 - [c21]Afi Edem Edi Gbekevi, Paloma Vela Achu, Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer:
Analyzing the Impact of Gender Misclassification on Face Recognition Accuracy. WACV (Workshops) 2023: 332-339 - [i14]Gabriella Pangelinan, K. S. Krishnapriya, Vitor Albiero, Grace Bezold, Kai Zhang, Kushal Vangara, Michael C. King, Kevin W. Bowyer:
Exploring Causes of Demographic Variations In Face Recognition Accuracy. CoRR abs/2304.07175 (2023) - [i13]Ahsi Lo, Gabriella Pangelinan, Michael C. King:
Analysis of Adversarial Image Manipulations. CoRR abs/2305.06307 (2023) - [i12]Aman Bhatta, Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer:
Demographic Disparities in 1-to-Many Facial Identification. CoRR abs/2309.04447 (2023) - [i11]Aman Bhatta, Domingo Mery, Haiyu Wu, Joyce Annan, Michael C. King, Kevin W. Bowyer:
Our Deep CNN Face Matchers Have Developed Achromatopsia. CoRR abs/2309.05180 (2023) - 2022
- [j1]Vítor Albiero
, Kai Zhang, Michael C. King, Kevin W. Bowyer
Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology. IEEE Trans. Inf. Forensics Secur. 17: 127-137 (2022) - [c20]Vítor Albiero, Kevin W. Bowyer, Michael C. King:
Face Regions Impact Recognition Accuracy Differently Across Demographics. IJCB 2022: 1-9 - [c19]Krishnapriya K. S
Analysis of Manual and Automated Skin Tone Assignments. WACV (Workshops) 2022: 429-438 - [i10]Haiyu Wu, Vítor Albiero, K. S. Krishnapriya
Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem. CoRR abs/2206.01881 (2022) - [i9]Aman Bhatta, Vítor Albiero, Kevin W. Bowyer, Michael C. King:
The Gender Gap in Face Recognition Accuracy Is a Hairy Problem. CoRR abs/2206.04867 (2022) - [i8]Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer:
Consistency and Accuracy of CelebA Attribute Values. CoRR abs/2210.07356 (2022) - 2021
- [c18]Marcellus Smith, Brandon Brown, Gerry V. Dozier, Michael C. King:
Mitigating Attacks on Fake News Detection Systems using Genetic-Based Adversarial Training. CEC 2021: 1265-1271 - [c17]Ying Qiu, Vítor Albiero, Michael C. King, Kevin W. Bowyer:
Does Face Recognition Error Echo Gender Classification Error? IJCB 2021: 1-8 - [c16]Brandon Brown, Marcellus Smith, Sadaira Parker, Jabari Leslie, Cheryl D. Seals, Gerry V. Dozier, Michael C. King:
Adversarial UFP/UFN Attack Evolution. SSCI 2021: 1-7 - [c15]Marcellus Smith, Brandon Brown, Gerry V. Dozier, Michael C. King:
EMO-GAT: An Evolutionary Multi-Objective Method for Adversarial Training. SSCI 2021: 1-8 - [i7]Ying Qiu, Vítor Albiero, Michael C. King, Kevin W. Bowyer:
Does Face Recognition Error Echo Gender Classification Error? CoRR abs/2104.13803 (2021) - [i6]Krishnapriya K. S, Michael C. King, Kevin W. Bowyer:
Analysis of Manual and Automated Skin Tone Assignments for Face Recognition Applications. CoRR abs/2104.14685 (2021) - [i5]Vítor Albiero, Kai Zhang, Michael C. King, Kevin W. Bowyer:
Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology. CoRR abs/2112.14656 (2021) - 2020
- [c14]Giordano Benitez Torres, Michael C. King:
Harvesting Faces from Social Media Photos for Biometric Analysis. ISTAS 2020: 230-234 - [c13]Alexicia Richardson, Gerry V. Dozier, Michael C. King, Richard Chapman:
'Uh-oh Spaghetti-oh': When Successful Genetic and Evolutionary Feature Selection Makes You More Susceptible to Adversarial Authorship Attacks. SMC 2020: 567-571 - [c12]Brandon Brown, Alexicia Richardson, Marcellus Smith, Gerry V. Dozier, Michael C. King:
The Adversarial UFP/UFN Attack: A New Threat to ML-based Fake News Detection Systems? SSCI 2020: 1523-1527 - [c11]Marcellus Smith, Alexicia Richardson, Brandon Brown, Gerry V. Dozier, Michael C. King, Joshua Morris
A Study of the Impact of Evolutionary-Based Feature Selection for Fake News Detection. SSCI 2020: 1859-1865 - [c10]Vítor Albiero, Krishnapriya K. S
Analysis of Gender Inequality In Face Recognition Accuracy. WACV Workshops 2020: 81-89 - [c9]Vítor Albiero, Kevin W. Bowyer
Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No. WACV 2020: 250-258 - [i4]Vítor Albiero, Krishnapriya K. S, Kushal Vangara, Kai Zhang, Michael C. King, Kevin W. Bowyer:
Analysis of Gender Inequality In Face Recognition Accuracy. CoRR abs/2002.00065 (2020) - [i3]Kevin W. Bowyer
The Criminality From Face Illusion. CoRR abs/2006.03895 (2020)
2010 – 2019
- 2019
- [c8]Krishnapriya K. S
Characterizing the Variability in Face Recognition Accuracy Relative to Race. CVPR Workshops 2019: 2278-2285 - [c7]Mary C. Kay Michel, Michael C. King:
The Future of Cyber Analytics: Identity Classification for Systematic and Predictive Insight. CyberSA 2019: 1-4 - [c6]Mary C. Kay Michel, Michael C. King:
Cyber Influence of Human Behavior: Personal and National Security, Privacy, and Fraud Awareness to Prevent Harm. ISTAS 2019: 1-7 - [i2]Krishnapriya K. S, Kushal Vangara, Michael C. King, Vitor Albiero, Kevin W. Bowyer
Characterizing the Variability in Face Recognition Accuracy Relative to Race. CoRR abs/1904.07325 (2019) - [i1]Vítor Albiero, Kevin W. Bowyer, Kushal Vangara, Michael C. King:
Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No. CoRR abs/1911.06396 (2019) - 2018
- [c5]Mary C. Kay Michel, Michael C. King:
Towards An Adaptable System-based Classification Design for Cyber Identity. CyberSA 2018: 1-2 - [c4]Joshua Gaston, Mina Narayanan, Gerry V. Dozier, D. Lisa Cothran, Clarissa Arms-Chavez, Marcia Rossi, Michael C. King, Jinsheng Xu:
Authorship Attribution vs. Adversarial Authorship from a LIWC and Sentiment Analysis Perspective. SSCI 2018: 920-927 - [c3]Mina Narayanan, Joshua Gaston, Gerry V. Dozier, D. Lisa Cothran, Clarissa Arms-Chavez, Marcia Rossi, Michael C. King, Kelvin S. Bryant:
Adversarial Authorship, Sentiment Analysis, and the AuthorWeb Zoo. SSCI 2018: 928-932 - [c2]Joshua Gaston, Mina Narayanan, Gerry V. Dozier, D. Lisa Cothran, Clarissa Arms-Chavez, Marcia Rossi, Michael C. King, Jinsheng Xu:
Authorship Attribution via Evolutionary Hybridization of Sentiment Analysis, LIWC, and Topic Modeling Features. SSCI 2018: 933-940 - 2017
- [c1]Christina Faust, Gerry V. Dozier, Jinsheng Xu, Michael C. King:
Adversarial authorship, interactive evolutionary hill-climbing, and author CAAT-III. SSCI 2017: 1-8
Coauthor Index
aka: Vítor Albiero
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last updated on 2024-10-11 17:27 CEST by the dblp team
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