Yang, Cheng-Yun, Ramshankar, Gowri, Nambiar, Sudarshan, Miller, Evan, Zhang, Xun, Eliopoulos, Nicholas, Jajal, Purvish, Jing_Tian, Dave, Chen, Shuo-Han, Perng, Chiy-Ferng, and Lu, Yung-Hsiang. Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. Retrieved from https://par.nsf.gov/biblio/10524958.

Yang, Cheng-Yun, Ramshankar, Gowri, Nambiar, Sudarshan, Miller, Evan, Zhang, Xun, Eliopoulos, Nicholas, Jajal, Purvish, Jing_Tian, Dave, Chen, Shuo-Han, Perng, Chiy-Ferng, & Lu, Yung-Hsiang. Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. Retrieved from https://par.nsf.gov/biblio/10524958.

Yang, Cheng-Yun, Ramshankar, Gowri, Nambiar, Sudarshan, Miller, Evan, Zhang, Xun, Eliopoulos, Nicholas, Jajal, Purvish, Jing_Tian, Dave, Chen, Shuo-Han, Perng, Chiy-Ferng, and Lu, Yung-Hsiang. "Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments". Country unknown/Code not available: 2024 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED). https://par.nsf.gov/biblio/10524958.

@article{osti_10524958,
place = {Country unknown/Code not available}, title = {Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments}, url = {https://par.nsf.gov/biblio/10524958}, abstractNote = {}, journal = {}, publisher = {2024 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)}, author = {Yang, Cheng-Yun and Ramshankar, Gowri and Nambiar, Sudarshan and Miller, Evan and Zhang, Xun and Eliopoulos, Nicholas and Jajal, Purvish and Jing_Tian, Dave and Chen, Shuo-Han and Perng, Chiy-Ferng and Lu, Yung-Hsiang}, }