IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

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IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

29 September 2022

Neophytos Christou

Vaggelis Atlidakis

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Papers citing "IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks"

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Title
Taxonomy of Real Faults in Deep Learning Systems Nargiz Humbatova Gunel Jahangirova Gabriele Bavota Vincenzo Riccio Andrea Stocco Paolo Tonella 101 270 0 24 Oct 2019
A Comprehensive Study on Deep Learning Bug Characteristics Md Johirul Islam Giang Nguyen Rangeet Pan Hridesh Rajan ELM 53 304 0 03 Jun 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 166 2,051 0 08 Feb 2019
Evaluating Fuzz Testing George Klees Andrew Ruef Benji Cooper Shiyi Wei M. Hicks 35 635 0 29 Aug 2018
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing Augustus Odena Ian Goodfellow AAML 68 322 0 28 Jul 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 96 939 0 09 Feb 2018
Malware Detection by Eating a Whole EXE Edward Raff Jon Barker Jared Sylvester Robert Brandon Bryan Catanzaro Charles K. Nicholas 71 546 0 25 Oct 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 107 1,371 0 18 May 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014

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