Zeng, Qiang, Su, Jianhai, Fu, Chenglong, Kayas, Golam, Luo, Lannan, Du, Xiaojiang, Tan, Chiu C., and Wu, Jie. A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples. Retrieved from https://par.nsf.gov/biblio/10119153. The 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) . Web. doi:10.1109/DSN.2019.00019.

Zeng, Qiang, Su, Jianhai, Fu, Chenglong, Kayas, Golam, Luo, Lannan, Du, Xiaojiang, Tan, Chiu C., & Wu, Jie. A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples. The 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), (). Retrieved from https://par.nsf.gov/biblio/10119153. https://doi.org/10.1109/DSN.2019.00019

Zeng, Qiang, Su, Jianhai, Fu, Chenglong, Kayas, Golam, Luo, Lannan, Du, Xiaojiang, Tan, Chiu C., and Wu, Jie. "A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples". The 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (). Country unknown/Code not available. https://doi.org/10.1109/DSN.2019.00019. https://par.nsf.gov/biblio/10119153.

@article{osti_10119153,
place = {Country unknown/Code not available}, title = {A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples}, url = {https://par.nsf.gov/biblio/10119153}, DOI = {10.1109/DSN.2019.00019}, abstractNote = {}, journal = {The 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)}, author = {Zeng, Qiang and Su, Jianhai and Fu, Chenglong and Kayas, Golam and Luo, Lannan and Du, Xiaojiang and Tan, Chiu C. and Wu, Jie}, }