Wenjie Wang
About Me
Starting my career in Bioinformatics and Biostatistics, now I am a Ph.D. student in Computer Science Department at Emory University. Before coming to Emory University, I received my bachelor's degree at Huazhong University of Science and Technology (HUST), Wuhan, China in 2017.
Now, I am working in AIMS group under the supervision of Dr. Xiong. My research interest covers Adversarial Machine Learning, Security AI and Deep Learning related Differential Privacy. I have a strong background and experience in Deep learning areas, especially Sequential Data analysis and Natural Language Processing, and is proficient in Tensorflow and PyTorch.
During my Ph.D. study, I also have been interned with IBM Research, Security AI group in 2019 summer, and Tencent AI lab Speech group in 2020 summer.
Publications
“Certified Robustness to Word Substitution Attack with Differential Privacy”, Wenjie Wang , Pengfei Tang, Jian Lou, Li Xiong, NAACL 2021
“RADAR: Recurrent Autoencoder based Detector for Adversarial Temporal EHR”, Wenjie Wang, Pengfei Tang, Li Xiong, Xiaoqian Jiang, ECML2020
“Utilizing Multimodal Model Consistency to Detect Adversarial Examples”, Wenjie Wang, Youngja Park, Taesung Lee, Ian Molloy, Pengfei Tang, Li Xiong, EMNLP Workshop: Clinical NLP 2020
“Bacterial contamination screening and interpretation for biological laboratory environments”,Xue Zhu, Xi Li, Wenjie Wang, Kang, Ning, Medicine in Microecology 2020
“Generating Adversarial Examples with Distance Constrained Adversarial Imitation Networks”, Pengfei Tang, Wenjie Wang, Li Xiong, TDSC, Under review
"Killing Two Birds with One Stone: Achieving both Differential Privacy and Certified Robustness via Input Perturbation", Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong, ICCV, Under review