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Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks

2 February 2022

Papers citing "Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks"

24 / 24 papers shown

Title
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 91 302 0 18 Oct 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 88 229 0 14 Jun 2021
FoveaTer: Foveated Transformer for Image Classification Aditya Jonnalagadda Wenjie Wang B. S. Manjunath Miguel P. Eckstein ViT 71 24 0 29 May 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 102 275 0 02 Mar 2021
How to represent part-whole hierarchies in a neural network Geoffrey E. Hinton OCL MoE 89 204 0 25 Feb 2021
Mind the Pad -- CNNs can Develop Blind Spots B. Alsallakh Narine Kokhlikyan Vivek Miglani Jun Yuan Orion Reblitz-Richardson 56 75 0 05 Oct 2020
Biologically Inspired Mechanisms for Adversarial Robustness M. V. Reddy Andrzej Banburski Nishka Pant T. Poggio AAML 54 46 0 29 Jun 2020
Emergent Properties of Foveated Perceptual Systems Arturo Deza Talia Konkle 75 47 0 14 Jun 2020
Image Quality Assessment: Unifying Structure and Texture Similarity Keyan Ding Kede Ma Shiqi Wang Eero P. Simoncelli 106 787 0 16 Apr 2020
Controversial stimuli: pitting neural networks against each other as models of human recognition Tal Golan Prashant C. Raju N. Kriegeskorte AAML 54 39 0 21 Nov 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 93 1,844 0 06 May 2019
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 80 561 0 30 May 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 106 1,782 0 30 May 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans Gamaleldin F. Elsayed Shreya Shankar Brian Cheung Nicolas Papernot Alexey Kurakin Ian Goodfellow Jascha Narain Sohl-Dickstein AAML 91 262 0 22 Feb 2018
Eigen-Distortions of Hierarchical Representations Alexander Berardino Johannes Ballé Valero Laparra Eero P. Simoncelli 71 69 0 06 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 315 12,131 0 19 Jun 2017
Towards Metamerism via Foveated Style Transfer Arturo Deza Aditya Jonnalagadda Miguel P. Eckstein 45 33 0 29 May 2017
Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints Gang Liu Y. Gousseau Gui-Song Xia 3DV 47 56 0 04 May 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 129 1,965 0 26 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014
Computational role of eccentricity dependent cortical magnification T. Poggio Jim Mutch Leyla Isik 57 28 0 06 Jun 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,377 0 30 Apr 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,963 1 21 Dec 2013