Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks

15 June 2021

Papers citing "Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks"

3 / 3 papers shown

Title
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs Mohammed Elnawawy Gargi Mitra Shahrear Iqbal Karthik Pattabiraman AAML 28 0 0 10 May 2025
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data Bart Pleiter Behrad Tajalli Stefanos Koffas Gorka Abad Jing Xu Martha Larson S. Picek LMTD AAML 42 1 0 13 Nov 2023
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis Esha Sarkar Michail Maniatakos 32 3 0 14 Aug 2021