Papers

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

   Kara, D., Kimura, T., Liu, S., Li, J., Liu, D., Wang, T., Wang, R., & Abdelzaher, T. (2023). ACM Web Conference (WWW) 2024 (Under Review)

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

   Kara, D., Kyo Hyun Kim, Sibin Mohan, Monowar Hasan, Takayuki Shimizu, and Hongsheng Lu. USENIX Security Symposium 2024 (Under Review)

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

   Wang, T., Li, J., Wang, R., Kara, D., Liu, S., Wertheimer, D., Martin, A., Ganti, R., Srivatsa, M., & Abdelzaher, T. (2023, November). In Proc. ACM Sensys 2023

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

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

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

   Kim, K. H., Kara, D., Paruchuri, V., Mohan, S., Kimberly, G., Osipychev, D., ... & Pajic, M. (2022, November). In MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM) (pp. 1065-1069). IEEE.

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

   Kim, K. H., Kara, D., Paruchuri, V., Mohan, S., Kimberly, G., & Kim, J. (2023). (Preprint, Target: IEEE Symposium on Security and Privacy 2024)

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

   Kara, D., Bugra Akyuz, and Secil Arslan. (Preprint, Target: Proceedings of the AAAI Conference on Artificial Intelligence)