Faculty

Institution

Unit

Venue

Armon Barton

Assistant Professor

Naval Postgraduate School

Affiliations

Center Of Software Engineering Automation

Center for Cybersecurity and Cyber Operations

Computer Science

Department Of Electrical Engineering

Institute Of Cebrowski

Resources

School Of Mechanical And Aerospace Engineering

Armon Barton is currently serving as a Center Of Software Engineering Automation Assistant Professor at Naval Postgraduate School.

Honors

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Experiences

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Education

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Armon Barton

Naval Postgraduate School

Assistant Professor

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computer science machine learning computer security information security neural network (machine learning) data science computational intelligence data security privacy enhancing technologies adversarial machine learning attack model communication deep learning artificial intelligence reinforcement learning multimedia computing multimedia systems system safety deep reinforcement learning cyberattacks biometric privacy guard sets engineering computational science machine learning research wireless communications communication security multimedia information processing global networks autonomous robots long range planning data privacy knowledge discovery information forensics robot learning reward hacking streaming algorithms evasion technique network algorithms cyber security engineering cybersecurity systems privacy issues log analysis threat detection botnet detection malware analysis soft biometrics learning control ship maneuvering destination-naive as-awareness anonymous communications anonymous tor circuits video stream fingerprinting adversarial examples tor path selection planning product streaming video privacy open-world fingerprinting active cyberdefense malware traffic gts attack adversarial purification diffusion transformers obfuscated faces

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hybrid Machine Learning Approach for Red Team Log Analysis. International Conference on Cyber Warfare and Security (2026)

predictive analyticsmachine learninganalyticsdata mininglog analysisknowledge discoverydata sciencecomputer science

1Game-Based Testing for Active Cyberdefense and Cyberdeception. Cybersecurity (2025)

verificationcomputer securityactive cyberdefensedata securityinformation securitysystem safetycomputer sciencesoftware testingcyberattacks

Detecting Malware Traffic With Graph Neural Networks. Communications in computer and information science (2025)

information forensicsbotnet detectionneural network (machine learning)network analysismalware trafficcomputer securitythreat detectioncomputer sciencemalware analysis

Gts Attack: Finding Adversarial Examples With Greedy Tree Search. Computer (2025)

machine learningcomputer securitygts attackdata securitycomputational intelligencecomputer scienceadversarial machine learningattack model

Improved Open-World Fingerprinting Increases Threat to Streaming Video Privacy but Realistic Scenarios Remain Difficult. Proceedings on Privacy Enhancing Technologies (2025)

biometric privacycommunicationdata privacystreaming video privacycomputer securitymultimedia computingopen-world fingerprintingprivacy enhancing technologiesprivacy issuesmultimedia systemsdata securityinformation securitycomputer science

IVORY: Adversarial Purification of Obfuscated Faces to Extract Soft-Biometrics Using Diffusion Transformers. (2025)

biometric privacyobfuscated facessoft biometricsdiffusion transformersadversarial purificationbiometrics

PREDICTOR: A Global, Machine Learning Approach to Tor Path Selection. ACM Transactions on Privacy and Security (2025)

network analysismachine learningnetwork algorithmsglobal networkscomputational sciencedata scienceapplied mathematicscomputer sciencetor path selectionmodel selection

Defending Against Deep Learning-Based Traffic Fingerprinting Attacks With Adversarial Examples. ACM Transactions on Privacy and Security (2024)

neural network (machine learning)adversarial examplescomputer securityevasion techniquedeep learninginformation securitymachine learningadversarial machine learningattack modelcomputer science

Exploring the Capabilities and Limitations of Video Stream Fingerprinting. (2024)

computer securitymultimedia computingmultimedia information processingstreaming algorithmsmultimedia systemscomputer sciencevideo stream fingerprinting

Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement Learning. Computer (2024)

deep reinforcement learningneural network (machine learning)artificial intelligencereinforcement learningdeep learningmachine learning researchdata sciencecomputational intelligencereward hackingmachine learningadversarial machine learningattack modelcomputer science

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Armon Barton

Assistant Professor

Naval Postgraduate School

Affiliations

Center Of Software Engineering Automation

Center for Cybersecurity and Cyber Operations

Computer Science

Department Of Electrical Engineering

Institute Of Cebrowski

Resources

School Of Mechanical And Aerospace Engineering

Armon Barton is currently serving as a Center Of Software Engineering Automation Assistant Professor at Naval Postgraduate School.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Armon Barton

Naval Postgraduate School

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hybrid Machine Learning Approach for Red Team Log Analysis. International Conference on Cyber Warfare and Security (2026)

predictive analyticsmachine learninganalyticsdata mininglog analysisknowledge discoverydata sciencecomputer science

1Game-Based Testing for Active Cyberdefense and Cyberdeception. Cybersecurity (2025)

verificationcomputer securityactive cyberdefensedata securityinformation securitysystem safetycomputer sciencesoftware testingcyberattacks

Detecting Malware Traffic With Graph Neural Networks. Communications in computer and information science (2025)

information forensicsbotnet detectionneural network (machine learning)network analysismalware trafficcomputer securitythreat detectioncomputer sciencemalware analysis

Gts Attack: Finding Adversarial Examples With Greedy Tree Search. Computer (2025)

machine learningcomputer securitygts attackdata securitycomputational intelligencecomputer scienceadversarial machine learningattack model

Improved Open-World Fingerprinting Increases Threat to Streaming Video Privacy but Realistic Scenarios Remain Difficult. Proceedings on Privacy Enhancing Technologies (2025)

IVORY: Adversarial Purification of Obfuscated Faces to Extract Soft-Biometrics Using Diffusion Transformers. (2025)

biometric privacyobfuscated facessoft biometricsdiffusion transformersadversarial purificationbiometrics

PREDICTOR: A Global, Machine Learning Approach to Tor Path Selection. ACM Transactions on Privacy and Security (2025)

network analysismachine learningnetwork algorithmsglobal networkscomputational sciencedata scienceapplied mathematicscomputer sciencetor path selectionmodel selection

Defending Against Deep Learning-Based Traffic Fingerprinting Attacks With Adversarial Examples. ACM Transactions on Privacy and Security (2024)

neural network (machine learning)adversarial examplescomputer securityevasion techniquedeep learninginformation securitymachine learningadversarial machine learningattack modelcomputer science

Exploring the Capabilities and Limitations of Video Stream Fingerprinting. (2024)

computer securitymultimedia computingmultimedia information processingstreaming algorithmsmultimedia systemscomputer sciencevideo stream fingerprinting

Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement Learning. Computer (2024)

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