Faculty

Institution

Unit

Venue

David Miller

Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

David Miller is currently serving as a Computer Science And Engineering Professor at Pennsylvania State University.

Honors

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Experiences

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Education

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David Miller

Pennsylvania State University

Professor

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machine learning computer science data science deep learning signal processing computer security electrical engineering neuroscience pattern recognition computer vision neural computation anomaly detection information security supervised learning adversarial machine learning data classification active learning reverse engineering mixture model wireless communications machine vision knowledge management data security information fusion statistical signal processing knowledge engineering data engineering classification method microarray data analysis eeg signal processing information theory unsupervised machine learning class discovery adversarial learning scientific computing marine engineering neuroinformatics knowledge technology structure discovery magnetic resonance imaging semi-supervised learning dnn classifiers training set iterative scaling ensemble classification knowledge discovery image representation computational intelligence deception detection threat detection pattern analysis data coding communication engineering transaction processing crowdsourcing neuropathic pain source separation topic models object detection image coding mixture analysis comprehensive review robust classification outlier rejection noisy channels critic-driven ensemble classification image privacy classification test time statistical classification general statistical inference artificial society global optimization telecommunication networks medium communication communication security automated reasoning applied artificial intelligence technology optical materials intelligent computing artificial intelligence data mining neural network (machine learning) automated machine learning

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. arXiv (Cornell University) (2024)

Hang WangZhen XiangDavid J. MillerGeorge Kesidis

systems engineeringtest-time detectionmobile securityuniversal backdoor mitigationcomputer securitydeep learninginformation securitycontrol system securitymachine learningadversarial machine learninghardware security

Integrated Movement Models for Individual Tracking and Species Distribution Data. Methods in Ecology and Evolution (2024)

Frances E. BudermanEphraim M. HanksViviana Ruiz‐GutierrezMichael ShullRobert K. MurphyDavid A. W. Miller

movement modelsbiologyindividual trackingmachine learningspecies distribution data

Justice and Borders. Routledge eBooks (2024)

David Miller

global justiceepistemic justiceglobal studiesrefugee lawlawborder controlscross-border managementinternational migrationgeopoliticsmigration studiescriminal justicetransitional justicesocial justicecross-border crime

Accomodating the Life Plans of Temporary Migrants. Law Ethics and Philosophy (2023)

David Miller

legal philosophyethicstemporary migrantslawlife plansphilosophyphilosophy of law

Adversarial Learning and Secure AI. (2023)

David J. MillerZhen XiangGeorge Kesidis

adversarial learningsecure aiartificial intelligencedeep learningcomputer sciencetrustworthy ai

Anomaly-Detection Defense Against Test-Time Evasion Attacks on Robust Dnns. Springer eBooks (2023)

Ye TaoZhen XiangDavid J. MillerGeorge Kesidis

test-time evasion attackssystems engineeringrobust dnnscomputer securitydeep learninganomaly-detection defenseanomaly detectioninformation securitymachine learninghardware security

Backdoors and Before/During Training Defenses. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

defensive architecturecomputer securitytraining systemstraining defensesaerospace engineering

Backdoors for 3D Point Cloud (Pc) Classifiers. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

classifier systemscomputer sciencemachine learningcomputer vision

Basics of Detection and Mixture Models. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

mixture modelsstatistical inferencestatisticsapplied mathematicsmathematics

Deep Learning Background. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

machine learningdeep learningpattern recognitiondata sciencecomputer science

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10 / page

David Miller

Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

David Miller is currently serving as a Computer Science And Engineering Professor at Pennsylvania State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

David Miller

Pennsylvania State University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. arXiv (Cornell University) (2024)

Hang WangZhen XiangDavid J. MillerGeorge Kesidis

Integrated Movement Models for Individual Tracking and Species Distribution Data. Methods in Ecology and Evolution (2024)

Frances E. BudermanEphraim M. HanksViviana Ruiz‐GutierrezMichael ShullRobert K. MurphyDavid A. W. Miller

movement modelsbiologyindividual trackingmachine learningspecies distribution data

Justice and Borders. Routledge eBooks (2024)

David Miller

Accomodating the Life Plans of Temporary Migrants. Law Ethics and Philosophy (2023)

David Miller

legal philosophyethicstemporary migrantslawlife plansphilosophyphilosophy of law

Adversarial Learning and Secure AI. (2023)

David J. MillerZhen XiangGeorge Kesidis

adversarial learningsecure aiartificial intelligencedeep learningcomputer sciencetrustworthy ai

Anomaly-Detection Defense Against Test-Time Evasion Attacks on Robust Dnns. Springer eBooks (2023)

Ye TaoZhen XiangDavid J. MillerGeorge Kesidis

test-time evasion attackssystems engineeringrobust dnnscomputer securitydeep learninganomaly-detection defenseanomaly detectioninformation securitymachine learninghardware security

Backdoors and Before/During Training Defenses. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

defensive architecturecomputer securitytraining systemstraining defensesaerospace engineering

Backdoors for 3D Point Cloud (Pc) Classifiers. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

classifier systemscomputer sciencemachine learningcomputer vision

Basics of Detection and Mixture Models. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

mixture modelsstatistical inferencestatisticsapplied mathematicsmathematics

Deep Learning Background. Cambridge University Press eBooks (2023)

David J. MillerZhen XiangGeorge Kesidis

machine learningdeep learningpattern recognitiondata sciencecomputer science

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3
4
5
20
10 / page

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Similar Faculty Members

Venkat Pothamsetty

Institution

Pennsylvania State University

information technology

information theory

Ming Dong

Institution

Wayne State University

machine learning

computer science

Xiangliang Lynn Zhang

Institution

University of Notre Dame

evolutionary data mining

optimization-based data mining

Jennifer Dy

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Sun-Yuan Kung

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Nasser M. Nasrabadi

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data communication

Victor S. Sheng

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machine learning

computer science

Junzhou Huang

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biomedical data science

biomedical imaging

Xia Ben Hu

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medical expert system

machine learning algorithms