Cite
SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks
MLA
Amira Guesmi, et al. SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks. June 2022. 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=edsair&AN=edsair.doi.dedup.....e9319c6b6b0be3c9ce7e834a33a6e12a&authtype=sso&custid=ns315887.
APA
Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, & Mohamed Abid. (2022). SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks.
Chicago
Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, and Mohamed Abid. 2022. “SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks,” June. 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=edsair&AN=edsair.doi.dedup.....e9319c6b6b0be3c9ce7e834a33a6e12a&authtype=sso&custid=ns315887.