Non-Uniform Illumination Attack for Fooling Convolutional Neural
Networks

Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks

5 September 2024

Satish Kumar Singh

B. B. Chaudhuri

ArXiv (abs)PDF HTML

Papers citing "Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks"

14 / 14 papers shown

Title
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 62 30 0 09 Feb 2022
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems Inderjeet Singh Satoru Momiyama Kazuya Kakizaki Toshinori Araki AAML 56 12 0 29 Sep 2021
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks Jayendra Kantipudi S. Dubey Soumendu Chakraborty AAML 69 21 0 20 Dec 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML PICV 71 27 0 28 Nov 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 104 2,728 0 01 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,449 0 03 Dec 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 359 6,799 0 06 May 2019
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 75 2,835 0 09 Aug 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,373 0 02 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 151 4,903 0 14 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,066 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014