Leah Ding

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Trademark Images

Machine Learning

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Rui Duan, Zhe Qu, Leah Ding, Yao Liu, Zhuo Lu
Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models. CoRR (2023)
Yiding Wang, Jie Gong, Dong L. Wu, Leah Ding
Toward Physics-Informed Neural Networks for 3-D Multilayer Cloud Mask Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, Zhuo Lu
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception. CCS (2022)
Leah Ding, Roberto Corizzo, Colin Bellinger, Nancy Ching, Spencer Login, Rodrigo Yepez-Lopez, Jie Gong, Dong L. Wu
Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data. Big Data (2022)
Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, Zhuo Lu
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception. CoRR (2022)
Spandan Das, Yiding Wang, Jie Gong, Leah Ding, Stephen Joseph Munchak, Chenxi Wang, Dong L. Wu, Liang Liao, William S. Olson, Donifan O. Barahona
A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements. Remote. Sens. 14 (15) (2022)
Qi Cheng, Anyi Xu, Xiangyang Li, Leah Ding
Adversarial Email Generation against Spam Detection Models through Feature Perturbation. ICAA (2022)
Xiaoyong Yuan, Leah Ding, Lan Zhang, Xiaolin Li, Dapeng Oliver Wu
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles. IEEE Trans. Emerg. Top. Comput. Intell. 6 (5) (2022)
Chaofei Yang, Leah Ding, Yiran Chen, Hai Li
Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces. IJCNN (2021)
Chenran Wang, Danyi Zhang, Suye Huang, Xiangyang Li, Leah Ding
Crafting Adversarial Email Content against Machine Learning Based Spam Email Detection. ASSS@AsiaCCS (2021)