Yeom, Samuel, Giacomelli, Irene, Menaged, Alan, Fredrikson, Matt, and Jha, Somesh. Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning. Retrieved from https://par.nsf.gov/biblio/10165386. Journal of Computer Security 28.1 Web. doi:10.3233/JCS-191362.

Yeom, Samuel, Giacomelli, Irene, Menaged, Alan, Fredrikson, Matt, & Jha, Somesh. Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning. Journal of Computer Security, 28 (1). Retrieved from https://par.nsf.gov/biblio/10165386. https://doi.org/10.3233/JCS-191362

Yeom, Samuel, Giacomelli, Irene, Menaged, Alan, Fredrikson, Matt, and Jha, Somesh. "Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning". Journal of Computer Security 28 (1). Country unknown/Code not available. https://doi.org/10.3233/JCS-191362. https://par.nsf.gov/biblio/10165386.

@article{osti_10165386,
place = {Country unknown/Code not available}, title = {Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning}, url = {https://par.nsf.gov/biblio/10165386}, DOI = {10.3233/JCS-191362}, abstractNote = {}, journal = {Journal of Computer Security}, volume = {28}, number = {1}, author = {Yeom, Samuel and Giacomelli, Irene and Menaged, Alan and Fredrikson, Matt and Jha, Somesh}, }