| 2026 | DSN | Computationally Efficient Anomaly Detection and Exclusion for Practical and Robust Federated Learning. | Raman Zatsarenko, Dmitrii Korobeinikov, Sergei Chuprov, Leon Reznik |
| 2025 | ICMLA | MADE-PI: Framework for Effective Anomaly Detection in Federated Learning Applications. | Raman Zatsarenko, Sergei Chuprov, Dmitrii Korobeinikov, Leon Reznik, Adrian Pea |
| 2024 | ICMLA | Intelligent Soccer Event Detection and Highlights Generation with Broadcast Cues Integration. | Anirudh Narayanan, Sergei Chuprov, Leon Reznik, Raman Zatsarenko, Dmitrii Korobeinikov |
| 2022 | IJCNN | Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation. | Sergei Chuprov, Igor Khokhlov, Leon Reznik, Srujan Shetty |
| 2022 | INFOCOM | How Degrading Network Conditions Influence Machine Learning End Systems Performance? | Sergei Chuprov, Leon Reznik, Antoun Obeid, Srujan Shetty |
| 2020 | IJCNN | Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices. | Igor Khokhlov, Ninad Ligade, Leon Reznik |
| 2019 | ICMLA | Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices. | Igor Khokhlov, Michael Perez, Leon Reznik |
| 2019 | ICMLA | The Machine Learning Models for Activity Recognition Applications with Wearable Sensors. | Igor Khokhlov, Leon Reznik, Rohit Bhaskar |
| 2017 | DASC | Colluded Applications Vulnerabilities in Android Devices. | Igor Khokhlov, Leon Reznik |
| 2017 | FRUCT | Data security evaluation for mobile android devices. | Igor Khokhlov, Leon Reznik |
| 2017 | FRUCT | Data security and quality evaluation framework: Implementation empirical study on android devices. | Igor Khokhlov, Leon Reznik, Ashish Kumar, Ankan Mookherjee, Rohan Dalvi |
| 2017 | IJCNN | Neural networks and the search for a quadratic residue detector. | Michael Potter, Leon Reznik, Stanislaw P. Radziszowski |
| 2015 | TrustCom | Trust Evaluation in Mobile Devices: An Empirical Study. | Richard S. Weiss, Leon Reznik, Yanyan Zhuang, Andrew Hoffman, Darrell Pollard, Albert Rafetseder, Tao Li, Justin Cappos |
| 2013 | CCS | Signal anomaly based attack detection in wireless sensor networks. | Jeton Bacaj, Leon Reznik |
| 2013 | CCS | Data quality evaluation: integrating security and accuracy. | Leon Reznik, Elisa Bertino |
| 2012 | IJCNN | Scalable multi-precision simulation of spiking neural networks on GPU with OpenCL. | Dmitri Yudanov, Leon Reznik |
| 2010 | IJCNN | GPU-based simulation of spiking neural networks with real-time performance & high accuracy. | Dmitri Yudanov, Muhammad Shaaban, Roy Melton, Leon Reznik |
| 2008 | IJCNN | Neural networks for cognitive sensor networks. | Leon Reznik, Gregory Von Pless |
| 2006 | IJCNN | Topology Selection for Signal Change Detection in Sensor Networks: RBF vs MLP. | James L. King, Leon Reznik |
| 2005 | SECON | Embedding intelligent sensor signal change detection into sensor network protocols. | Leon Reznik, Gregory Von Pless, Tayeb Al Karim |
| 2004 | ICMLA | Time-based multi-layer perceptron for novelty detection in sensor networks. | Gregory Von Pless, Tayeb Al Karim, Leon Reznik |
| 1998 | KES | Intelligent sensor: an attempt to define. | Leon Reznik |
| 1998 | KES | Fuzzy controller design: recommendations to the user. | Leon Reznik |