EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks

30 October 2020

Papers citing "EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks"

8 / 8 papers shown

Title
UNICORN: A Unified Backdoor Trigger Inversion Framework Zhenting Wang Kai Mei Juan Zhai Shiqing Ma LLMSV 32 44 0 05 Apr 2023
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning Hao Chen Chen Gong Yizhen Wang Xinwen Hou AAML 24 1 0 01 Apr 2023
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals Zhibo Zhang Sani Umar Ahmed Y. Al Hammadi Sangyoung Yoon Ernesto Damiani C. Ardagna Nicola Bena C. Yeun AAML 29 11 0 17 Jan 2023
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces Xiaoqing Chen Dongrui Wu AAML 27 2 0 28 Nov 2022
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events Bibek Upadhayay Vahid Behzadan AAML 18 0 0 18 Nov 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 21 1 0 07 Nov 2022
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 27 25 0 04 Feb 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing Andreas Bär Jonas Löhdefink Nikhil Kapoor Serin Varghese Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 106 33 0 11 Jan 2021