Cite
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning
MLA
Banerjee, Soumya, et al. MIA-BAD: An Approach for Enhancing Membership Inference Attack and Its Mitigation with Federated Learning. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2312.00051&authtype=sso&custid=ns315887.
APA
Banerjee, S., Roy, S., Ahamed, S. F., Quinn, D., Vucovich, M., Nandakumar, D., Choi, K., Rahman, A., Bowen, E., & Shetty, S. (2023). MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning.
Chicago
Banerjee, Soumya, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, and Sachin Shetty. 2023. “MIA-BAD: An Approach for Enhancing Membership Inference Attack and Its Mitigation with Federated Learning.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2312.00051&authtype=sso&custid=ns315887.