Publications

  1. FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing.

    Denizhan Kara, T. Kimura, S. Liu, J. Li, D. Liu, T. Wang, R. Wang, & T. Abdelzaher. Proceedings of the ACM Web Conference 2024 (WWW 2024).

  2. PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT.

    Denizhan Kara, T. Kimura, Y. Chen, J. Li, R. Wang, Y. Chen, L. Kaplan, J. Bhattacharyya, & T. Abdelzaher. In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems (SenSys 2024) (to appear).

  3. Fine-grained Control of Generative Data Augmentation in IoT Sensing.

    T. Wang, Q. Yang, R. Wang, D. Sun, J. Li, Y. Chen, Y. Hu, C. Yang, T. Kimura, D. Kara, & T. Abdelzaher. Advances in Neural Information Processing Systems (NeurIPS 2024) (to appear).

  4. VibroFM: Towards Micro Foundation Models for Robust Multimodal IoT Sensing.

    T. Kimura, J. Li, T. Wang, D. Kara, M. Wigness, J. Bhattacharyya, M. B. Srivatsa, S. Liu, S. Diggavi, & T. Abdelzaher. IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2024) (to appear).

  5. SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.

    T. Wang, J. Li, R. Wang, D. Kara, S. Liu, D. Wertheimer, A. Martin, R. Ganti, M. Srivatsa, & T. Abdelzaher. Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems (SenSys 2023).

  6. The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example.

    T. Wang, D. Kara, J. Li, S. Liu, T. Abdelzaher, & B. Jalaian. MILCOM 2022 IEEE Military Communications Conference.

  7. Insights on Using Deep Learning to Spoof Inertial Measurement Units for Stealthy Attacks on UAVs.

    K. H. Kim, D. Kara, V. Paruchuri, S. Mohan, G. Kimberly, D. Osipychev, & M. Pajic. MILCOM 2022 IEEE Military Communications Conference.

  8. MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning.

    R. Wang, Y. Zhang, J. Li, S. Liu, D. Sun, T. Wang, T. Wang, Y. Chen, D. Kara, & T. Abdelzaher. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.

  9. Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration.

    J. Li, Y. Chen, T. Kimura, T. Wang, D. Kara, Y. Hu, W. A. Hanafy, & T. Abdelzaher. 33rd International Conference on Computer Communications and Networks (ICCCN).

  10. On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study.

    T. Kimura, J. Li, T. Wang, D. Kara, Y. Chen, Y. Hu, & M. Wigness. arXiv preprint arXiv:2404.02461.

  11. Requiem for a Drone: A Machine-Learning Based Framework for Stealthy Attacks Against Unmanned Autonomous Vehicles.

    K. H. Kim, D. Kara, V. Paruchuri, S. Mohan, G. Kimberly, & J. Kim. arXiv preprint arXiv:2407.15003.

  12. Requiem: Stealthy Attacks via Finding Adversarial Examples of Non-ML Functions in Unmanned Aerial Vehicles.

    K. H. Kim, D. Kara, V. Paruchuri, S. Mohan, G. Kimberly, & J. Kim. (Target: IEEE Symposium on Security and Privacy 2024).

  13. OVERTON: A Misbehavior Detection and Trust Framework for Vehicular (V2X) Networks.

    D. Kara, K. H. Kim, S. Mohan, M. Hasan, T. Shimizu, & H. Lu. (Target: USENIX Security Symposium 2025).

  14. TRANSPROP: AI-based Propensity Scoring Framework Utilizing Transactional Data Stream.

    D. Kara, B. Akyuz, & S. Arslan. (Target: Proceedings of the AAAI Conference on Artificial Intelligence).