A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models

MLA

Zhou, Qilin, et al. A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models. 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.2308.00452&authtype=sso&custid=ns315887.

APA

Zhou, Q., Wei, Z., Wang, H., & Chan, W. K. (2023). A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models.

Chicago

Zhou, Qilin, Zhengyuan Wei, Haipeng Wang, and W. K. Chan. 2023. “A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models.” 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.2308.00452&authtype=sso&custid=ns315887.