NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial
Attacks

NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks

9 March 2023

Justus Renkhoff

Alvaro Velasquez

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Papers citing "NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks"

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Title
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach Justus Renkhoff Wenkai Tan Alvaro Velasquez William Yichen Wang Yongxin Liu Jian Wang Shuteng Niu Lejla Begic Fazlic Guido Dartmann Haoze Song AAML 74 7 0 08 Mar 2023
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey Yongxin Liu Jian Wang Jianqiang Li Shuteng Niu Haoze Song 105 137 0 25 Jan 2021
Distant Domain Transfer Learning for Medical Imaging Shuteng Niu Meryl Liu Yongxin Liu Jian Wang Haoze Song OOD 97 70 0 10 Dec 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 78 95 0 03 Oct 2020
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy Alex Lamb Vikas Verma Kenji Kawaguchi Alexander Matyasko Savya Khosla Arno Solin Yoshua Bengio AAML 64 99 0 16 Jun 2019
PuVAE: A Variational Autoencoder to Purify Adversarial Examples Uiwon Hwang Jaewoo Park Hyemi Jang Sungroh Yoon N. Cho AAML 62 77 0 02 Mar 2019
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing Augustus Odena Ian Goodfellow AAML 76 322 0 28 Jul 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei Maya Kabkab Rama Chellappa AAML GAN 86 1,179 0 17 May 2018
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks Bo Luo Yannan Liu Lingxiao Wei Q. Xu AAML 55 142 0 15 Jan 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 119 2,311 0 30 Oct 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 112 1,375 0 18 May 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 354 20,136 0 07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 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 39,637 0 01 Sep 2014