INformation Security and Privacy: Interdisciplinary Research and Education (INSPIRE)
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INformation Security and Privacy: Interdisciplinary Research and Education (INSPIRE)

National Center of Academic Excellence in Cyber Defense Research (CAE-R)

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Publications

Publications

For more recent papers, please visit google scholar profiles of the authors.

2022

  1. Rafiei, Mohammad H., Lynne V. Gauthier, Hojjat Adeli, and Daniel Takabi. "Self-Supervised Learning for Electroencephalography." IEEE transactions on neural networks and learning systems.

2021

  1. Senanayake N, Podschwadt R, Takabi D, Calhoun VD, Plis SM. NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data. Neuroinformatics. 2021 May 4:1-8.
  2. Podschwadt, Robert, and Daniel Takabi. "Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption." 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE, 2021.
  3. Xiong, Zuobin, et al. "Multi-source adversarial sample attack on autonomous vehicles." IEEE Transactions on Vehicular Technology 70.3 (2021): 2822-2835.
  4. Xiong, Zuobin, et al. "Privacy threat and defense for federated learning with non-iid data in AIoT." IEEE Transactions on Industrial Informatics 18.2 (2021): 1310-1321.
  5. Panzade, Prajwal, and Daniel Takabi. "Towards Faster Functional Encryption for Privacy-preserving Machine Learning." 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA). IEEE, 2021.
  6. Y. Lin, Z. Cai, X. Wang, F. Hao, L. Wang and A. M. V. V. Sai, "Multi-Round Incentive Mechanism for Cold Start-Enabled Mobile Crowdsensing," in IEEE Transactions on Vehicular Technology, vol. 70, no. 1, pp. 993-1007, Jan. 2021, doi: 10.1109/TVT.2021.3050339.
  7. He, Z., Sai, A.M.V.V., Huang, Y. et al. Differentially private approximate aggregation based on feature selection. J Comb Optim 41, 318–327 (2021). https://doi.org/10.1007/s10878-020-00666-1
  8. A. M. V. Venkata Sai, K. Zhang and Y. Li, "User Motivation Based Privacy Preservation in Location Based Social Networks," 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI), 2021, pp. 471-478, doi: 10.1109/SWC50871.2021.00070.

2020

  1. Podschwadt R, Takabi D. Classification of Encrypted Word Embeddings using Recurrent Neural Networks. InPrivateNLP@ WSDM 2020 (pp. 27-31).
  2. Xiong, Zuobin, et al. "Adgan: protect your location privacy in camera data of auto-driving vehicles." IEEE Transactions on Industrial Informatics 17.9 (2020): 6200-6210.
  3. A. M. V. Venkata Sai and Y. Li, "A Survey on Privacy Issues in Mobile Social Networks," in IEEE Access, vol. 8, pp. 130906-130921, 2020, doi: 10.1109/ACCESS.2020.3009691.
  4. J. Li, A. M. V. V. Sai, X. Cheng, W. Cheng, Z. Tian and Y. Li, "Sampling-based approximate skyline query in sensor equipped IoT networks," in Tsinghua Science and Technology, vol. 26, no. 2, pp. 219-229, April 2021, doi: 10.26599/TST.2019.9010060.
  5. Wang, Y., Tao, X., Zhao, F. et al. SLA-aware resource scheduling algorithm for cloud storage. J Wireless Com Network 2020, 6 (2020). https://doi.org/10.1186/s13638-019-1604-0
  6. F. Zhao, Y. Huang, A. M. V. V. Sai and Y. Wu, "A Cluster-based Solution to Achieve Fairness in Federated Learning," 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2020, pp. 875-882, doi: 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00135.

2019

  1. Xiong, Zuobin, et al. "Privacy-preserving auto-driving: a GAN-based approach to protect vehicular camera data." 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 2019.
  2. K. Yan, G. Luo, X. Zheng, L. Tian and A. Maradapu Vera Venkata Sai, "A Comprehensive Location-Privacy-Awareness Task Selection Mechanism in Mobile Crowd-Sensing," in IEEE Access, vol. 7, pp. 77541-77554, 2019, doi: 10.1109/ACCESS.2019.2921274.
  3. He, Z., Lin, Y., Liang, Y., Wang, X., Vera Venkata Sai, A.M., Cai, Z. (2019). Modeling Malware Propagation Dynamics and Developing Prevention Methods in Wireless Sensor Networks. In: Du, DZ., Pardalos, P., Zhang, Z. (eds) Nonlinear Combinatorial Optimization. Springer Optimization and Its Applications, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-030-16194-1_10
  4. K. Yan, G. Lu, G. Luo, X. Zheng, L. Tian and A. Maradapu Vera Venkata Sai, "Location Privacy-Aware Task Bidding and Assignment for Mobile Crowd-Sensing," in IEEE Access, vol. 7, pp. 131929-131943, 2019, doi: 10.1109/ACCESS.2019.2940738.