A Data Augmentation-based Defense Method Against Adversarial Attacks in
Neural Networks

A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks

30 July 2020

Yi Zeng

Papers citing "A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks"

6 / 6 papers shown

Title
Lightweight Defense Against Adversarial Attacks in Time Series Classification Yi Han AAML 42 0 0 04 May 2025
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 37 5 0 19 May 2022
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 37 42 0 01 Dec 2021
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 24 191 0 13 Dec 2020
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 43 224 0 19 Feb 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016