Papers

  • Olowononi, D.B. Rawat, and C. Liu, “Trust-Based Adversarial Resiliency in Vehicular Cyber Physical Systems Using Reinforcement Learning” Proc. of the Eighth International Symposium on Security in Computing and Communications (SSCC’20) – SSCC’20, Special Session, Chennai, India, October 14-17, 2020 (presented online).
  • Liu, D. Schwartz (2020) Building Data Science Pipelines for Intrusion Detection.
  • Liu, (2020) Adversarial Machine Learning for Audio Analysis, University of Arizona.
  • Liu and G. Ditzler (2020) “Bypassing Temporal Dependency in Adversarial Audio Examples,” IEEE Symposium Series on Computational Intelligence.
  • Liu and G. Ditzler (2020) “Detecting Adversarial Audio via Activation Quantization Error,” IEEE/INNS International Joint Conference on Neural Networks.
  • M.Elkadi, T. Bose, (2020) “A Suite of Equalizers and Cognitive Engines for GNU Radio,” International Telemetering Conference (ITC).

  • K.-S. Peng, G. Ditzler, and J. Rozenblit (2020) “A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction,” International Symposium on Visual Computing.

  • Berian, A., Staab, K., Teku, N., Ditzler, G., Bose, T., & Tandon, R. (2020). Adversarial Filters for Secure Modulation Classification. arXiv preprint arXiv:2008.06785.

  • K.-S. Peng, G. Ditzler, and J. Rozenblit (2020) “Self-Supervised Correlational Monocular Depth Estimation using a Hybrid Network,” submitted IEEE Transactions on Neural Networks and Learning Systems.

  • Liu and G. Ditzler, (2020) “Data Poisoning Against Information-Theoretic Feature Selection” submitted to Information Sciences.

  • Peken, T., Tandon, R., & Bose, T. (2019). Reinforcement Learning for Hybrid Beamforming In Millimeter Wave Systems. International Foundation for Telemetering.

  • Spillane, S., Jung, K. H., Bowers, K., Peken, T., Marefat, M. H., & Bose, T. (2020, July). Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

  • Peken, T., Adiga, S., Tandon, R., & Bose, T. (2020). Deep Learning for SVD and Hybrid Beamforming. IEEE Transactions on Wireless Communications, 19(10), 6621-6642.

  • Ronald Doku and Danda B. Rawat, “iFLBC: On the Edge Intelligence Using Federated Learning Blockchain Network,” Proc. of the 5th IEEE International Conference on Intelligent Data and Security (IEEE IDS 2020), May 25-27, 2020, Baltimore, USA
  • O. Olowononi, D. B. Rawat and C. Liu, “Dependable Adaptive Mobility in Vehicular Networks for Resilient Mobile Cyber Physical Systems,” Proc. of the IEEE ICC 2020 Workshop on Secure and Dependable Software Defined Networking for Sustainable Smart Communities, 7-11 June 2020, Dublin, Ireland.
  • Ronald Doku, Danda B. Rawat and Chunmei Liu, “On the Blockchain-Based Decentralized Data Sharing for Event Based Encryption to Combat Adversarial Attacks,” IEEE Transactions on Network Science and Engineering, Vol. x, No. x, pp. xxx-xxx, 2020.
  • Peken, R. Tandon, and T. Bose, (2020) “Unsupervised mmWave Beamforming via Autoencoders,” in the Proceedings of the IEEE International Conference on Communications (ICC), June 2020.
  • Berian, I. Aykin, M. Krunz, and T. Bose, “Deep Learning Based Identification of Wireless Protocols in the PHY layer,” 2020 International Conference on Computing, Networking and Communications (ICNC), Big Island, HI, USA, 2020, pp. 287-293, doi: 10.1109/ICNC47757.2020.9049732.
  • Peken, S.  Adiga, R.  Tandon, and T.  Bose, (2020) “Deep Learning for SVD and Hybrid Beamforming,” IEEE Transactions on Wireless Communications, accepted for publication in June 2020.
  • Berian, I. Aykin, M. Krunz and T. Bose, “Deep Learning Based Identification of Wireless Protocols in the PHY layer,” 2020 International Conference on Computing, Networking and Communications (ICNC), Big Island, HI, USA, 2020, pp. 287-293, doi: 10.1109/ICNC47757.2020.9049732.
  • Shao, Sicong, Cihan Tunc, Amany Al-Shawi, and Salim Hariri, (2020) “Ensemble of Ensemble Learning-based Author Attribution for Internet Relay Chat Forensics,” ACM Transactions on Management Information Systems (TMIS).
  • Sadeq, T. Peken, T. Bose, (2020) “A Survey on Wireless Security of 6G: On the Path to AI-Enabled Wireless Networks,” submitted to the International Telemetering Conference.
  • Ronald Doku*, Danda B. Rawat and Chunmei Liu, “On the Blockchain-Based Decentralized Data Sharing for Event-Based Encryption to Combat Adversarial Attacks,” IEEE Transactions on Network Science and Engineering, Vol. x, No. x, pp. xxx-xxx, 2020, to appear.
  • Danda B. Rawat, Doku*, A. Adebayo*, C. Bacjacharya and C. Kamhoua, “Blockchain-enabled Named Data Networking for Secure  Vehicle-to-Everything Communications,” IEEE Network, Vol. xx, No. xx, pp. xx-xx, January 2020, to appear.
  • K.S. Peng, G. Ditzler and J. Rozenblit, (2019) “Self-Supervised Correlational Monocular Depth Estimation using ResVGG Network,” International Conference on Intelligent Systems and Image Processing.
  • G. Ditzler, S. Miller, and J. Rozenblit, (2019) “Learning What We Don’t Care About: Regularization with Sacrificial Functions,” Information Sciences, vol. 496, pp. 198-211.

  • H. Liu and G. Ditzler, (2019) “A Semi-Parallel Framework for Greedy Information-Theoretic Feature Selection,” Information Sciences, vol. 492, pp. 13-28.

  • Shao, Sicong, Cihan Tunc, Amany Al-Shawi, and Salim Hariri, (2019) “One-Class Classification with Deep Autoencoder Neural Networks for Author Verification in Internet Relay Chat.” In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), pp. 1-8. IEEE.

  • Shao, Sicong, Cihan Tunc, Amany Al-Shawi, and Salim Hariri, (2019) “Automated Twitter Author Clustering with Unsupervised Learning for Social Media Forensics.” In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), pp. 1-8. IEEE.

  • Shao, Sicong, Cihan Tunc, Amany Al-Shawi, and Salim Hariri, (2020) “Ensemble of Ensemble Learning-based Author Attribution for Internet Relay Chat Forensics,” ACM Transactions on Management Information Systems (TMIS).

  • K.S. Peng, G. Ditzler, and J. Rozenblit, (2019) “Self-Supervised Correlatonal Monocular Depth Estimation using ResVGG Network,” International Conference on Intelligent Systems and Image Processing.
  • G. Ditzler, S. Miller, and J. Rozenblit, (2019) “Learning What We Don’t Care About: Regularization with Sacrificial Functions,” Information Sciences, vol. 496, pp. 198-211.
  • H. Liu and G. Ditzler, (2019) “A Semi-Parallel Framework for Greedy Information-Theoretic Feature Selection,” Information Sciences, vol. 492, pp. 13-28.
  • Shao, Sicong, Cihan Tunc, Amany Al-Shawi, and Salim Hariri, (2019) “One-Class Classification with Deep Autoencoder Neural Networks for Author Verification in Internet Relay Chat.” In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), pp. 1-8. IEEE.
  • Shao, Sicong, Cihan Tunc, Amany Al-Shawi, and Salim Hariri, (2019) “Automated Twiter Author Clustering with Unsupervised Learning for Social Media Forensics.” In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), pp. 1-8. IEEE.