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Selected Publications

"Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models," R. Duan, Z. Qu, L. Ding, Y. Liu, Z. Lu, accepted, to appear in the Network and Distributed System Security Symposium (NDSS), 2024.

"Toward Physics-informed Neural Networks for 3D Multi-layer Cloud Mask Reconstruction," Y. Wang, J. Gong, D. L. Wu, L. Ding, in IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 61, pp. 1-14, 2023.

"Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data," L. Ding, R. Corizzo, C. Bellinger C, N. Ching, S. Login, R. Yepez-Lopez, J. Gong, D. L. Wu, IEEE International Conference on Big Data (2022 Big Data), Osaka, Japan, Dec. 2022, pp. 5902-5909.

"Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception," R. Duan, Z. Qu, S. Zhao, L. Ding, Y. Liu, Z. Lu, the ACM Conference on Computer and Communications Security (CCS) (ACM CCS 2022), Nov. 2022.

"A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements," S. Das, Y. Wang, J. Gong, L. Ding, S. J. Munchak, C. Wang, D. L. Wu, L. Liao, W. S. Olson, D. O. Barahona, Remote Sensing (Journal), Volume 14, Issue 15, Jul. 2022.

"ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles," X. Yuan, L. Ding, L. Zhang, X. Li and D. O. Wu, IEEE Transactions on Emerging Topics in Computational Intelligence, Mar. 2022.

"Adversarial Email Generation Against Spam Detection Models Through Feature Perturbation," Q. Cheng, A. Xu, X. Li, L. Ding, IEEE International Conference on Assured Autonomy (ICAA), Mar. 2022.

"Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces," C. Yang, L. Ding, Y. Chen, H. Li, the International Joint Conference on Neural Networks (IJCNN), Jul. 2021.

"Crafting Adversarial Email Content against Machine Learning Based Spam Email Detection," C. Wang, D. Zhang, S. Huang, X. Li, and L. Ding, in Proceedings of the 2021 International Symposium on Advanced Security on Software and Systems (ASSS '21) with AsiaCCS, Jun. 2021.

"Are Smart Home Devices Abandoning IPV Victims?" A. Alshehri, M. B. Salem, L. Ding, IEEE TrustCom/C4W, Dec. 2020. []

"Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks," X. Yuan, L. Ding, M. B. Salem, X. Li, D. Wu, SecureComm, Oct. 2020. []

"A Novel Architecture for Automatic Document Classification for Effective Security in Edge Computing Environments,&±ç³Ü´Ç³Ù;ÌýL. Ding, M. B. Salem, IEEE/ACM Symposium on Edge Computing/EdgeSP, Oct. 2018. []

Professional Services

Co-chair, the Seventh ACM/IEEE Workshop on Security and Privacy in Edge Computing, Dec 2024.

Co-chair, the Sixth ACM/IEEE Workshop on Security and Privacy in Edge Computing, Dec 2023.

Co-chair, the Forth ACM/IEEE Workshop on Security and Privacy in Edge Computing, Dec 2021. []

Co-chair, IEEE International Workshop on Quantum Communication and Quantum Cryptography, Oct. 2021. [Link]

Local Chair, the IEEE/ACM International Conference on Connected Health Applications, Systems, and Engineering Technologies (CHASE), Dec. 2021. []

Publicity co-chair, the IEEE Conference on Communications and Network Security (CNS), Oct. 2021. []

Co-chair, the Third ACM/IEEE Workshop on Security and Privacy in Edge Computing, Nov. 2020. []

Orgnazier and Panel Moderator, Women-in-Computing Forum of the ACM/IEEE Symposium on Edge Computing, Nov. 2019. []