Defense Against Adversarial Attacks with Saak Transform

Defense Against Adversarial Attacks with Saak Transform

6 August 2018

Ngai-Man Cheung

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Papers citing "Defense Against Adversarial Attacks with Saak Transform"

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Title
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 121 14 0 13 Dec 2023
Hindering Adversarial Attacks with Implicit Neural Representations Andrei A. Rusu D. A. Calian Sven Gowal R. Hadsell AAML 168 4 0 22 Oct 2022
On the Limitations of Denoising Strategies as Adversarial Defenses Zhonghan Niu Zhaoxi Chen Linyi Li Yubin Yang Yue Liu Jinfeng Yi AAML 74 14 0 17 Dec 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 127 233 0 21 Jul 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 184 39 0 16 Jun 2020
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation Nader Asadi Amirm. Sarfi Mehrdad Hosseinzadeh Sahba Tahsini M. Eftekhari AAML 32 2 0 01 Jul 2019
Defending Against Universal Attacks Through Selective Feature Regeneration Tejas S. Borkar Felix Heide Lina Karam AAML 28 1 0 08 Jun 2019
Visualization, Discriminability and Applications of Interpretable Saak Features Abinaya Manimaran T. Ramanathan Suya You C.-C. Jay Kuo FAtt 88 8 0 25 Feb 2019
Robustness Of Saak Transform Against Adversarial Attacks T. Ramanathan Abinaya Manimaran Suya You C.-C. Jay Kuo 76 5 0 07 Feb 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions Yusuke Tsuzuku Issei Sato AAML 82 62 0 11 Sep 2018