The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection

27 February 2019

Deniz Gunduz

Papers citing "The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection"

21 / 21 papers shown

Title
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 71 68 0 05 Feb 2020
IoT Network Security from the Perspective of Adversarial Deep Learning Y. Sagduyu Yi Shi T. Erpek AAML 35 78 0 31 May 2019
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications Bryse Flowers R. M. Buehrer William C. Headley AAML 60 123 0 01 Mar 2019
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training S. Kokalj-Filipovic Rob Miller Nicholas Chang Chi Leung Lau AAML 37 37 0 16 Feb 2019
Spectrum Data Poisoning with Adversarial Deep Learning Yi Shi T. Erpek Y. Sagduyu Jason H. Li AAML 32 72 0 26 Jan 2019
Adversarial Attacks on Deep-Learning Based Radio Signal Classification Meysam Sadeghi Erik G. Larsson AAML 38 255 0 23 Aug 2018
Deep Learning for Launching and Mitigating Wireless Jamming Attacks T. Erpek Y. Sagduyu Yi Shi AAML 43 192 0 03 Jul 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 145 601 0 15 Feb 2018
Deep Neural Network Architectures for Modulation Classification Xiaoyu Liu Diyu Yang Aly El Gamal AI4TS 33 203 0 01 Dec 2017
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples Pin-Yu Chen Yash Sharma Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 64 641 0 13 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 279 12,029 0 19 Jun 2017
Deep Architectures for Modulation Recognition Nathan E. West Tim O'Shea 51 401 0 27 Mar 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 128 2,194 0 02 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 461 3,138 0 04 Nov 2016
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library Nicolas Papernot Fartash Faghri Nicholas Carlini Ian Goodfellow Reuben Feinman ... David Berthelot P. Hendricks Jonas Rauber Rujun Long Patrick McDaniel AAML 65 512 0 03 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 239 8,548 0 16 Aug 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 104 1,738 0 24 May 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 66 3,676 0 08 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 243 19,017 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 249 14,893 1 21 Dec 2013