Dense Associative Memory is Robust to Adversarial Inputs

4 January 2017

Papers citing "Dense Associative Memory is Robust to Adversarial Inputs"

22 / 22 papers shown

Title
Neural Learning Rules from Associative Networks Theory Daniele Lotito 45 0 0 11 Mar 2025
Sequential Learning in the Dense Associative Memory Hayden McAlister Anthony Robins Lech Szymanski CLL 216 1 0 24 Sep 2024
Long Sequence Hopfield Memory Hamza Tahir Chaudhry Jacob A. Zavatone-Veth Dmitry Krotov Cengiz Pehlevan 51 18 0 07 Jun 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer Toshihiro Ota Masato Taki 37 2 0 25 Apr 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei Wang 25 5 0 23 Jan 2023
On the Relationship Between Variational Inference and Auto-Associative Memory Louis Annabi Alexandre Pitti M. Quoy BDL 35 5 0 14 Oct 2022
Sequence Learning Using Equilibrium Propagation Malyaban Bal Abhronil Sengupta 35 9 0 14 Sep 2022
A Theory of Natural Intelligence C. Malsburg Thilo Stadelmann Benjamin Grewe 17 2 0 22 Apr 2022
Fine-tuning Image Transformers using Learnable Memory Mark Sandler A. Zhmoginov Max Vladymyrov Andrew Jackson ViT 34 47 0 29 Mar 2022
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 36 236 0 01 Aug 2021
A brain basis of dynamical intelligence for AI and computational neuroscience J. Monaco Kanaka Rajan Grace M. Hwang AI4CE 26 6 0 15 May 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 33 138 0 29 Mar 2021
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 29 73 0 07 Aug 2020
Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich Bernhard Schafl Hubert Ramsauer Milena Pavlović Lukas Gruber ... Johannes Brandstetter G. K. Sandve Victor Greiff Sepp Hochreiter Günter Klambauer 193 117 0 16 Jul 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp Günter Klambauer Johannes Brandstetter Sepp Hochreiter 24 415 0 16 Jul 2020
Neural networks with redundant representation: detecting the undetectable E. Agliari Francesco Alemanno Adriano Barra M. Centonze A. Fachechi 13 31 0 28 Nov 2019
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples Deqiang Li Ramesh Baral Tao Li Han Wang Qianmu Li Shouhuai Xu AAML 28 21 0 18 Sep 2018
Universal Approximation with Quadratic Deep Networks Fenglei Fan Jinjun Xiong Ge Wang PINN 36 78 0 31 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 50 226 0 18 Jul 2018
Unsupervised Learning by Competing Hidden Units Dmitry Krotov J. Hopfield SSL 9 166 0 26 Jun 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 45 225 0 19 Feb 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 317 5,847 0 08 Jul 2016