LanCe: A Comprehensive and Lightweight CNN Defense Methodology against
Physical Adversarial Attacks on Embedded Multimedia Applications

LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications

17 October 2019

Zirui Xu

Papers citing "LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications"

5 / 5 papers shown

Title
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks Heorhii Skovorodnikov Hoda AlKhzaimi AAML 30 2 0 19 Jan 2024
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer Terence Jie Chua Wen-li Yu Junfeng Zhao AAML UQCV 26 1 0 18 Mar 2023
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Giulio Rossolini F. Nesti G. D’Amico Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 37 37 0 05 Jan 2022
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems Yuxuan Chen Jiangshan Zhang Xuejing Yuan Shengzhi Zhang Kai Chen Xiaofeng Wang Shanqing Guo AAML 44 15 0 19 Mar 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 365 5,849 0 08 Jul 2016