Colluded Applications Vulnerabilities in Android Devices. - Igor Khokhlov; Leon Reznik (DASC/PiCom/DataCom/CyberSciTech, 2017)

Data security evaluation for mobile android devices. - Igor Khokhlov; Leon Reznik (FRUCT, 2017)

Data security and quality evaluation framework: Implementation empirical study on android devices. - Igor Khokhlov; Leon Reznik; Ashish Kumar; Ankan Mookherjee; Rohan Dalvi (FRUCT, 2017)

Android system security evaluation. - Igor Khokhlov; Leon Reznik (CCNC, 2018)

What can data analysis recommend on design of wearable sensors? - Igor Khokhlov; Leon Reznik; Suresh Babu Jothilingam; Rohit Bhaskar (CCNC, 2018)

MeetCI: A Computational Intelligence Software Design Automation Framework. - Igor Khokhlov; Chinmay Jain; Ben Miller-Jacobson; Andrew Heyman; Leonid K. Reznik; Robert St. Jacques (FUZZ-IEEE, 2018)

Computational Intelligence Framework for Automatic Quiz Question Generation. - Akhil Killawala; Igor Khokhlov; Leon Reznik (FUZZ-IEEE, 2018)

Design of activity recognition systems with wearable sensors. - Igor Khokhlov; Leon Reznik; Justin Cappos; Rohit Bhaskar (SAS, 2018)

Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices. - Igor Khokhlov; Michael Perez; Leon Reznik (ICMLA, 2019)

The Machine Learning Models for Activity Recognition Applications with Wearable Sensors. - Igor Khokhlov; Leon Reznik; Rohit Bhaskar (ICMLA, 2019)

Sensor Selection Optimization with Genetic Algorithms. - Igor Khokhlov; Akshay Pudage; Leon Reznik (IEEE SENSORS, 2019)

Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices. - Igor Khokhlov; Ninad Ligade; Leon Reznik (IJCNN, 2020)

Image Processing in Autonomous Vehicle Model Positioning and Movement Control. - Sergey Chuprov; Egor Marinenkov; Ilya I. Viksnin; Leon Reznik; Igor Khokhlov (WF-IoT, 2020)

Knowledge Graph in Data Quality Evaluation for IoT applications. - Igor Khokhlov; Leon Reznik (WF-IoT, 2020)

Learning to recommend third-party library migration opportunities at the API level. - Hussein Alrubaye; Mohamed Wiem Mkaouer; Igor Khokhlov; Leon Reznik; Ali Ouni 001; Jason Mcgoff (Appl. Soft Comput., 2020)

Improving Knowledge Based Detection of Soft Attacks Against Autonomous Vehicles with Reputation, Trust and Data Quality Service Models. - Sergey Chuprov; Ilya I. Viksnin; Iuliia Kim; Timofey Melnikov; Leon Reznik; Igor Khokhlov (SMDS, 2021)

Framework for Integral Data Quality and Security Evaluation in Smartphones. - Igor Khokhlov; Leon Reznik; Sergey Chuprov (IEEE Syst. J., 2021)

Multi-Modal Sensor Selection with Genetic Algorithms. - Sergei Chuprov; Leon Reznik; Igor Khokhlov; Karan Manghi (IEEE SENSORS, 2022)

Integrating Security with Accuracy Evaluation in Sensors Fusion. - Igor Khokhlov; Sergei Chuprov; Leon Reznik (IEEE SENSORS, 2022)

Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation. - Sergei Chuprov; Igor Khokhlov; Leon Reznik; Srujan Shetty (IJCNN, 2022)

Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems. - Mohamad Fazelnia; Igor Khokhlov; Mehdi Mirakhorli (CoRR, 2022)

Empirical Validation of Automated Vulnerability Curation and Characterization. - Ahmet Okutan; Peter Mell; Mehdi Mirakhorli; Igor Khokhlov; Joanna C. S. Santos; Danielle Gonzalez; Steven Simmons (IEEE Trans. Software Eng., 2023)

Data Quality Based Intelligent Instrument Selection with Security Integration. - Sergei Chuprov; Raman Zatsarenko; Leon Reznik; Igor Khokhlov (ACM J. Data Inf. Qual., 2024)