Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Abstract
CleverHans is a software library that provides standardized reference implementations of adversarial example construction techniques and adversarial training. The library may be used to develop more robust machine learning models and to provide standardized benchmarks of models' performance in the adversarial setting. Benchmarks constructed without a standardized implementation of adversarial example construction are not comparable to each other, because a good result may indicate a robust model or it may merely indicate a weak implementation of the adversarial example construction procedure. This technical report is structured as follows. Section 1 provides an overview of adversarial examples in machine learning and of the CleverHans software. Section 2 presents the core functionalities of the library: namely the attacks based on adversarial examples and defenses to improve the robustness of machine learning models to these attacks. Section 3 describes how to report benchmark results using the library. Section 4 describes the versioning system.
Cite
@article{arxiv.1610.00768,
title = {Technical Report on the CleverHans v2.1.0 Adversarial Examples Library},
author = {Nicolas Papernot and Fartash Faghri and Nicholas Carlini and Ian Goodfellow and Reuben Feinman and Alexey Kurakin and Cihang Xie and Yash Sharma and Tom Brown and Aurko Roy and Alexander Matyasko and Vahid Behzadan and Karen Hambardzumyan and Zhishuai Zhang and Yi-Lin Juang and Zhi Li and Ryan Sheatsley and Abhibhav Garg and Jonathan Uesato and Willi Gierke and Yinpeng Dong and David Berthelot and Paul Hendricks and Jonas Rauber and Rujun Long and Patrick McDaniel},
journal= {arXiv preprint arXiv:1610.00768},
year = {2018}
}
Comments
Technical report for https://github.com/tensorflow/cleverhans