Adversarial Noise Attacks of Deep Learning Architectures -- Stability
Analysis via Sparse Modeled Signals

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Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals

29 May 2018

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Papers citing "Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals"

15 / 15 papers shown

Title
Adversarial Robustness in Parameter-Space Classifiers Tamir Shor Ethan Fetaya Chaim Baskin A. Bronstein AAML OOD 766 0 0 27 Feb 2025
Pivotal Auto-Encoder via Self-Normalizing ReLU Nelson Goldenstein Jeremias Sulam Yaniv Romano 93 2 0 23 Jun 2024
On The Relationship Between Universal Adversarial Attacks And Sparse RepresentationsIEEE Open Journal of Signal Processing (IEEE Open J. Signal Process.), 2023 Dana Weitzner Raja Giryes AAML 162 0 0 14 Nov 2023
A Tensor-based Convolutional Neural Network for Small Dataset Classification Zhenhua Chen David J. Crandall 97 0 0 29 Mar 2023
Revisiting Sparse Convolutional Model for Visual RecognitionNeural Information Processing Systems (NeurIPS), 2022 Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 118 35 0 24 Oct 2022
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness Dávid Szeghy Mahmoud Aslan Á. Fóthi Balázs Mészáros Z. '. Milacski András Lőrincz AAML 90 0 0 05 May 2022
Adversarial robustness of sparse local Lipschitz predictorsSIAM Journal on Mathematics of Data Science (SIMODS), 2022 Ramchandran Muthukumar Jeremias Sulam AAML 159 15 0 26 Feb 2022
Reframing Neural Networks: Deep Structure in Overcomplete RepresentationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Calvin Murdock George Cazenavette Simon Lucey BDL 167 6 0 10 Mar 2021
Architectural Adversarial Robustness: The Case for Deep PursuitComputer Vision and Pattern Recognition (CVPR), 2020 George Cazenavette Calvin Murdock Simon Lucey AAML 130 25 0 29 Nov 2020
Adversarial Robustness of Supervised Sparse Coding Jeremias Sulam Ramchandran Muthumukar R. Arora AAML 146 25 0 22 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 373 678 0 18 Aug 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 131 13 0 28 Jun 2020
Dataless Model Selection with the Deep Frame PotentialComputer Vision and Pattern Recognition (CVPR), 2020 Calvin Murdock Simon Lucey 138 6 0 30 Mar 2020
Translating Diffusion, Wavelets, and Regularisation into Residual Networks Tobias Alt Joachim Weickert Pascal Peter DiffM 129 8 0 07 Feb 2020
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks Xiaodong Wu Hui Xie Leixin Zhou Xiaodong Wu Weiyu Xu R. Mudumbai AAML 93 7 0 25 May 2019

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