Intriguing Properties of Adversarial ML Problem-Space Attacks

News

  • Mar 2020: Paper accepted at IEEE Symp. Security & Privacy (Oakland) 2020

Access

We are hosting the attack code on a private Bitbucket repository, under MIT license. To request access to the repository, please fill-up the following form: For ethical reasons, we will only be sharing the code with verified academic researchers.

Papers

Intriguing Properties of Adversarial ML Attacks in the Problem Space
Fabio Pierazzi*, Feargus Pendlebury*, Jacopo Cortellazzi, Lorenzo Cavallaro
IEEE S&P · 41st IEEE Symposium on Security and Privacy, 2020
@inproceedings{pierazzi2020problemspace,
author = {F. Pierazzi and F. Pendlebury and J. Cortellazzi and L. Cavallaro},
booktitle = {2020 IEEE Symposium on Security and Privacy (SP)},
title = {Intriguing Properties of Adversarial ML Attacks in the Problem Space},
year = {2020},
volume = {},
issn = {2375-1207},
pages = {1308-1325},
doi = {10.1109/SP40000.2020.00073},
url = {https://doi.ieeecomputersociety.org/10.1109/SP40000.2020.00073},
publisher = {IEEE Computer Society},
}

People

  • Fabio Pierazzi, Lecturer (Assistant Professor), King's College London.
  • Feargus Pendlebury, Ph.D. Student, King's College London & Royal Holloway, University of London
  • Jacopo Cortellazzi, Ph.D. Student, King's College London
  • Lorenzo Cavallaro, Full Professor of Computer Science, Chair in Cybersecurity (Systems Security), King's College London