Igor Khokhlov

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 23

Top Topics

Empirical Validation

Machine Learning

Recurrent Neural Networks

Top Venues

Publications

Ahmet Okutan, Peter Mell, Mehdi Mirakhorli, Igor Khokhlov, Joanna C. S. Santos, Danielle Gonzalez, Steven Simmons
Empirical Validation of Automated Vulnerability Curation and Characterization. IEEE Trans. Software Eng. 49 (5) (2023)
Sergei Chuprov, Igor Khokhlov, Leon Reznik, Srujan Shetty
Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation. IJCNN (2022)
Sergei Chuprov, Leon Reznik, Igor Khokhlov, Karan Manghi
Multi-Modal Sensor Selection with Genetic Algorithms. IEEE SENSORS (2022)
Igor Khokhlov, Sergei Chuprov, Leon Reznik
Integrating Security with Accuracy Evaluation in Sensors Fusion. IEEE SENSORS (2022)
Mohamad Fazelnia, Igor Khokhlov, Mehdi Mirakhorli
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems. CoRR (2022)
Sergey Chuprov, Ilya I. Viksnin, Iuliia Kim, Timofey Melnikov, Leon Reznik, Igor Khokhlov
Improving Knowledge Based Detection of Soft Attacks Against Autonomous Vehicles with Reputation, Trust and Data Quality Service Models. SMDS (2021)
Igor Khokhlov, Leon Reznik, Sergey Chuprov
Framework for Integral Data Quality and Security Evaluation in Smartphones. IEEE Syst. J. 15 (2) (2021)
Igor Khokhlov, Leon Reznik
Knowledge Graph in Data Quality Evaluation for IoT applications. WF-IoT (2020)
Igor Khokhlov, Ninad Ligade, Leon Reznik
Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices. IJCNN (2020)
Sergey Chuprov, Egor Marinenkov, Ilya I. Viksnin, Leon Reznik, Igor Khokhlov
Image Processing in Autonomous Vehicle Model Positioning and Movement Control. WF-IoT (2020)
Hussein Alrubaye, Mohamed Wiem Mkaouer, Igor Khokhlov, Leon Reznik, Ali Ouni, Jason Mcgoff
Learning to recommend third-party library migration opportunities at the API level. Appl. Soft Comput. 90 (2020)
Igor Khokhlov, Leon Reznik, Rohit Bhaskar
The Machine Learning Models for Activity Recognition Applications with Wearable Sensors. ICMLA (2019)
Hussein Alrubaye, Mohamed Wiem Mkaouer, Igor Khokhlov, Leon Reznik, Ali Ouni, Jason Mcgoff
Learning to Recommend Third-Party Library Migration Opportunities at the API Level. CoRR (2019)
Igor Khokhlov, Akshay Pudage, Leon Reznik
Sensor Selection Optimization with Genetic Algorithms. IEEE SENSORS (2019)
Igor Khokhlov, Michael Perez, Leon Reznik
Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices. ICMLA (2019)
Akhil Killawala, Igor Khokhlov, Leon Reznik
Computational Intelligence Framework for Automatic Quiz Question Generation. FUZZ-IEEE (2018)
Igor Khokhlov, Leon Reznik
Android system security evaluation. CCNC (2018)
Igor Khokhlov, Chinmay Jain, Ben Miller-Jacobson, Andrew Heyman, Leonid K. Reznik, Robert St. Jacques
MeetCI: A Computational Intelligence Software Design Automation Framework. FUZZ-IEEE (2018)
Igor Khokhlov, Leon Reznik, Suresh Babu Jothilingam, Rohit Bhaskar
What can data analysis recommend on design of wearable sensors? CCNC (2018)
Igor Khokhlov, Leon Reznik, Justin Cappos, Rohit Bhaskar
Design of activity recognition systems with wearable sensors. SAS (2018)
Igor Khokhlov, Leon Reznik
Colluded Applications Vulnerabilities in Android Devices. DASC/PiCom/DataCom/CyberSciTech (2017)
Igor Khokhlov, Leon Reznik, Ashish Kumar, Ankan Mookherjee, Rohan Dalvi
Data security and quality evaluation framework: Implementation empirical study on android devices. FRUCT (2017)
Igor Khokhlov, Leon Reznik
Data security evaluation for mobile android devices. FRUCT (2017)