VectorDefense: Vectorization as a Defense to Adversarial Examples

23 April 2018

Papers citing "VectorDefense: Vectorization as a Defense to Adversarial Examples"

6 / 6 papers shown

Title
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos P. Panousis S. Chatzis Antonios Alexos Sergios Theodoridis BDL AAML OOD 56 19 0 04 Jan 2021
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 155 0 08 Sep 2020
Deep Vectorization of Technical Drawings Vage Egiazarian Oleg Voynov Alexey Artemov Denis Volkhonskiy Aleksandr Safin Maria Taktasheva Denis Zorin Evgeny Burnaev 3DPC 21 60 0 11 Mar 2020
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 11 160 0 18 Apr 2019
Towards the first adversarially robust neural network model on MNIST Lukas Schott Jonas Rauber Matthias Bethge Wieland Brendel AAML OOD 14 369 0 23 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 291 3,110 0 04 Nov 2016