Exploring Adversarial Attacks on Neural Networks: An Explainable
Approach

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach

8 March 2023

Justus Renkhoff

Alvaro Velasquez

William Yichen Wang

Lejla Begic Fazlic

Papers citing "Exploring Adversarial Attacks on Neural Networks: An Explainable Approach"

5 / 5 papers shown

Title
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving Ming Liu Siyuan Liang Koushik Howlader L. Wang Dacheng Tao Wensheng Zhang AAML 33 0 0 09 May 2025
Explainable AI for Comparative Analysis of Intrusion Detection Models Pap M. Corea Yongxin Liu Jian Wang Shuteng Niu Houbing Song 32 4 0 14 Jun 2024
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks Wen-Xi Tan Justus Renkhoff Alvaro Velasquez Ziyu Wang Lu Li Jian Wang Shuteng Niu Fan Yang Yongxin Liu Haoze Song AAML 35 6 0 09 Mar 2023
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance Yongxin Liu Yingjie Chen Jian Wang Shuteng Niu Dahai Liu Haoze Song 39 8 0 12 Oct 2021
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 324 39,252 0 01 Sep 2014