Faculty

Institution

Unit

Venue

Leon Reznik

Professor

Rochester Institute of Technology

Affiliations

College of Liberal Arts

Political Science

Golisano College of Computing and Information Sciences

Computer Science

Leon Reznik is currently serving as a College Of Liberal Arts Professor at Rochester Institute of Technology.

Honors

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Experiences

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Education

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Leon Reznik

Rochester Institute of Technology

Professor

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systems engineering computer science fuzzy logic machine learning fuzzy systems data science computer security control systems fuzzy modeling information security intelligent systems measurement fuzzy control system data security computational intelligence intelligent computing fuzzy computing fuzzy sets control system technology data quality fuzzy optimization electrical engineering fuzzy expert system artificial intelligence automatic control measurement theory soft computing communication security fuzzy controller design anomaly detection mobile computing security evaluation sensor networks neural networks deep learning intrusion detection information management adversarial machine learning signal change detection security measurement android devices data quality evaluation intelligent methods evolutionary computation scientific computing vehicular technology measure theory activity recognition sensor design pid control power efficiency knowledge bases sensor technology information security management security assessment industrial applications gpu-based simulation high accuracy recommender systems design frameworks applied artificial intelligence reputation management reputation systems regularization (mathematics) mobile sensing information assurance gpu computing intelligent robotics 3d computer vision vehicle localization location estimation design base gaussian membership functions real-time performance measurement models api level cyber security engineering federated learning cybersecurity education

Notable Scholarly Works

Notable Federal Grants

Collaborators

KISS: Knowledge Integration System Service for ML End Attacks Detection and Classification. IEEE Transactions on Dependable and Secure Computing (2025)

computer scienceinformation securitydata securitycomputer securitycommunication securityknowledge graphsdata sciencesystems engineeringthreat detectionintrusion detection systemscyber threat intelligenceinformation forensics

MLINK: Machine Learning Integration With Network and Knowledge. Cambridge University Press eBooks (2025)

data integrationmachine learning toolscomputer sciencecomputational intelligencemachine learningknowledge discoveryknowledge graphsknowledge graph embeddingsknowledge-based systemsknowledge representation and reasoning

Data Quality Based Intelligent Instrument Selection With Security Integration. Journal of Data and Information Quality (2024)

Raman ZatsarenkoSergei ChuprovLeon ReznikIgor Khokhlov

security integrationinformation qualitydata securitydata qualitydata scienceintelligent instrument selectiondata management

Federated Learning Robustness on Real World Data in Intelligent Transportation Systems. Proceedings of 19th Annual Symposium on Information Assurance (ASIA’24) (2024)

computer scienceintelligent systemsdistributed ai systemdistributed learningreal world datamachine learningfederated learningfederated structuredata sciencefederated learning robustnessintelligent vehiclesmachine learning researchintelligent transportation systems

Improving Federated Learning Security With Trust Evaluation to Detect Adversarial Attacks. 19th Annual Symposium on Information Assurance (ASIA’24) (2024)

federated learning securityinformation securitycomputer sciencetrustdata securitydistributed learningtrust evaluationmachine learningfederated learningcomputer securitycommunication securitydata scienceadversarial machine learningfederated structuredetect adversarial attacks

Intelligent Soccer Event Detection and Highlights Generation With Broadcast Cues Integration. (2024)

multimedia information processingbroadcast cues integrationvideo summarizationvideo understandinghighlights generationcomputer visionsport managementmultimedia modeling

Robust Training on the Edge: Federated vs. Transfer Learning for Computer Vision in Intelligent Transportation Systems. 2022 IEEE World AI IoT Congress (AIIoT) (2024)

Sergei ChuprovRaman ZatsarenkoDmitrii KorobeinikovLeon Reznik

computer sciencemachine learningfederated learningtransfer learningedge computingrobust trainingcomputer vision

Towards More Robust Federated Learning With Medical Imaging Model Anomaly Detection. (2024)

Dmitrii KorobeinikovSergei ChuprovLeon Reznik

machine learningfederated learningprincipal component analysismedical image computingimage analysismedical imagingbiomedical imagingcomputer-aided diagnosisanomaly detectionbiomedical engineeringmodel anomaly detectionbiomedical informatics

Trust-Based Anomaly Detection in Federated Edge Learning. 2022 IEEE World AI IoT Congress (AIIoT) (2024)

Raman ZatsarenkoSergei ChuprovDmitrii KorobeinikovLeon Reznik

information securitydata securitymachine learningfederated edge learningcomputer securitysystems engineeringanomaly detectiontrust-based anomaly detection

Are Industrial ML Image Classifiers Robust to Data Affected by Network Qos Degradation?. (2023)

Raman ZatsarenkoChirayu Anil MaratheSergei ChuprovMatthew HylandLeon Reznik

machine learningquality-of-servicetechnologynetwork qos degradation

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Leon Reznik

Professor

Rochester Institute of Technology

Affiliations

College of Liberal Arts

Political Science

Golisano College of Computing and Information Sciences

Computer Science

Leon Reznik is currently serving as a College Of Liberal Arts Professor at Rochester Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Leon Reznik

Rochester Institute of Technology

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

KISS: Knowledge Integration System Service for ML End Attacks Detection and Classification. IEEE Transactions on Dependable and Secure Computing (2025)

MLINK: Machine Learning Integration With Network and Knowledge. Cambridge University Press eBooks (2025)

Data Quality Based Intelligent Instrument Selection With Security Integration. Journal of Data and Information Quality (2024)

Raman ZatsarenkoSergei ChuprovLeon ReznikIgor Khokhlov

security integrationinformation qualitydata securitydata qualitydata scienceintelligent instrument selectiondata management

Federated Learning Robustness on Real World Data in Intelligent Transportation Systems. Proceedings of 19th Annual Symposium on Information Assurance (ASIA’24) (2024)

Improving Federated Learning Security With Trust Evaluation to Detect Adversarial Attacks. 19th Annual Symposium on Information Assurance (ASIA’24) (2024)

Intelligent Soccer Event Detection and Highlights Generation With Broadcast Cues Integration. (2024)

multimedia information processingbroadcast cues integrationvideo summarizationvideo understandinghighlights generationcomputer visionsport managementmultimedia modeling

Robust Training on the Edge: Federated vs. Transfer Learning for Computer Vision in Intelligent Transportation Systems. 2022 IEEE World AI IoT Congress (AIIoT) (2024)

Sergei ChuprovRaman ZatsarenkoDmitrii KorobeinikovLeon Reznik

computer sciencemachine learningfederated learningtransfer learningedge computingrobust trainingcomputer vision

Towards More Robust Federated Learning With Medical Imaging Model Anomaly Detection. (2024)

Dmitrii KorobeinikovSergei ChuprovLeon Reznik

Trust-Based Anomaly Detection in Federated Edge Learning. 2022 IEEE World AI IoT Congress (AIIoT) (2024)

Raman ZatsarenkoSergei ChuprovDmitrii KorobeinikovLeon Reznik

information securitydata securitymachine learningfederated edge learningcomputer securitysystems engineeringanomaly detectiontrust-based anomaly detection

Are Industrial ML Image Classifiers Robust to Data Affected by Network Qos Degradation?. (2023)

Raman ZatsarenkoChirayu Anil MaratheSergei ChuprovMatthew HylandLeon Reznik

machine learningquality-of-servicetechnologynetwork qos degradation

1
2
3
4
5
26
10 / page

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design for testing

design automation

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information theory

information system planning

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attack model

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