Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training

14 March 2018

Papers citing "Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training"

5 / 5 papers shown

Title
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 23 2 0 08 May 2023
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition Jianfei Yang Han Zou Lihua Xie AAML HAI 22 20 0 04 Apr 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 31 55 0 05 Dec 2021
Stance Detection Benchmark: How Robust Is Your Stance Detection? Benjamin Schiller Johannes Daxenberger Iryna Gurevych 11 95 0 06 Jan 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016