On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions

11 September 2018

Papers citing "On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions"

15 / 15 papers shown

Title
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 39 0 0 16 Apr 2024
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 34 1 0 15 May 2023
Fourier Sensitivity and Regularization of Computer Vision Models K. Krishnamachari See-Kiong Ng Chuan-Sheng Foo OOD 34 2 0 31 Jan 2023
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 14 0 0 28 Oct 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 24 13 0 09 May 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration Ryan Soklaski Michael Yee Theodoros Tsiligkaridis AAML 22 14 0 24 Feb 2022
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images Selahattin Cansiz Cem Kesim Sevval Nur Bektas Zeynep Kulali M. Hasanreisoğlu C. Gunduz-Demir 33 9 0 17 Jan 2022
Detecting AutoAttack Perturbations in the Frequency Domain P. Lorenz P. Harder Dominik Strassel M. Keuper J. Keuper AAML 19 13 0 16 Nov 2021
Real-time Detection of Practical Universal Adversarial Perturbations Kenneth T. Co Luis Muñoz-González Leslie Kanthan Emil C. Lupu AAML 33 6 0 16 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger M. Wyart OOD 38 15 0 06 May 2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain P. Harder Franz-Josef Pfreundt M. Keuper J. Keuper AAML 27 48 0 04 Mar 2021
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification Yongwei Wang Mingquan Feng Rabab Ward Z. J. Wang Lanjun Wang AAML 19 3 0 30 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 31 48 0 19 Oct 2020
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai Yasutoshi Ida Yasuhiro Fujiwara Masanori Yamada S. Adachi AAML 23 1 0 19 Sep 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016