Position: “Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice

Giovanni Apruzzese, Hyrum Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin Roundy

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

356 Downloads (Pure)

Original language	English
Title of host publication	IEEE Conference on Secure and Trustworthy Machine Learning
Publisher	IEEE
Publication status	Accepted/In press - 15 Nov 2022

Access to Document

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title = "Position: “Real Attackers Don{\textquoteright}t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice",

author = "Giovanni Apruzzese and Hyrum Anderson and Savino Dambra and David Freeman and Fabio Pierazzi and Kevin Roundy",

year = "2022",

month = nov,

day = "15",

language = "English",

booktitle = "IEEE Conference on Secure and Trustworthy Machine Learning",

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TY - CHAP

T1 - Position: “Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice

AU - Apruzzese, Giovanni

AU - Anderson, Hyrum

AU - Dambra, Savino

AU - Freeman, David

AU - Pierazzi, Fabio

AU - Roundy, Kevin

PY - 2022/11/15

Y1 - 2022/11/15

M3 - Conference paper

BT - IEEE Conference on Secure and Trustworthy Machine Learning

PB - IEEE

ER -