Attack Agnostic Detection of Adversarial Examples via Random Subspace
Analysis

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis

11 December 2020

Nathan G. Drenkow

Philippe Burlina

Papers citing "Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis"

11 / 11 papers shown

Title
OODformer: Out-Of-Distribution Detection Transformer Rajat Koner Poulami Sinhamahapatra Karsten Roscher Stephan Günnemann Volker Tresp ViT 27 40 0 19 Jul 2021
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks Akhilan Boopathy Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 119 138 0 29 Nov 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 68 688 0 25 Apr 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 63 505 0 13 Mar 2018
Testing Deep Neural Networks Youcheng Sun Xiaowei Huang Daniel Kroening James Sharp Matthew Hill Rob Ashmore AAML 42 215 0 10 Mar 2018
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples Pin-Yu Chen Yash Sharma Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 41 639 0 13 Sep 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 90 1,851 0 20 May 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 60 892 0 01 Mar 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 54 710 0 21 Feb 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 44 947 0 14 Feb 2017
Experiments with Random Projection S. Dasgupta 46 426 0 16 Jan 2013

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