Is Spiking Secure? A Comparative Study on the Security Vulnerabilities
of Spiking and Deep Neural Networks

Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks

4 February 2019

Alberto Marchisio

Muhammad Abdullah Hanif

Maurizio Martina

Papers citing "Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks"

14 / 14 papers shown

Title
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Junaid Qadir Mohamed Bennai AAML 34 34 0 04 Nov 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 53 233 0 13 Sep 2018
Are adversarial examples inevitable? Ali Shafahi Wenjie Huang Christoph Studer Soheil Feizi Tom Goldstein SILM 53 282 0 06 Sep 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 52 1,071 0 22 Apr 2018
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks Bo Luo Yannan Liu Lingxiao Wei Q. Xu AAML 51 142 0 15 Jan 2018
Weighted Contrastive Divergence E. Romero F. Mazzanti Jordi Delgado David Buchaca Prats 12 23 0 08 Jan 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 269 12,029 0 19 Jun 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations A. Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal AAML 48 231 0 09 Apr 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 90 892 0 01 Mar 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,893 0 08 Jul 2016
evt_MNIST: A spike based version of traditional MNIST Mazdak Fatahi M. Ahmadi Mahyar Shahsavari A. Ahmadi P. Devienne 29 23 0 22 Apr 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
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 233 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 239 14,893 1 21 Dec 2013