7 citations · 17 across the 6 of their papers we have counts for
6 papers
ICSPatch: Automated Vulnerability Localization and Non-Intrusive Hotpatching in Industrial Control Systems using Data Dependence Graphs
Prashant Hari Narayan Rajput, Constantine Doumanidis, Michail Maniatakos
The paradigm shift of enabling extensive intercommunication between the Operational Technology (OT) and Information Technology (IT) devices allows vulnerabilities typical to the IT…
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Esha Sarkar, Eduardo Chielle, Gamze Gursoy +3
Machine Learning (ML) alleviates the challenges of high-dimensional data analysis and improves decision making in critical applications like healthcare. Effective cancer type from…
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis
Esha Sarkar, Michail Maniatakos
Machine Learning (ML) has achieved unprecedented performance in several applications including image, speech, text, and data analysis. Use of ML to understand underlying patterns i…
Explainability Matters: Backdoor Attacks on Medical Imaging
Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar +2
Deep neural networks have been shown to be vulnerable to backdoor attacks, which could be easily introduced to the training set prior to model training. Recent work has focused on…
FaceHack: Triggering backdoored facial recognition systems using facial characteristics
Esha Sarkar, Hadjer Benkraouda, Michail Maniatakos
Recent advances in Machine Learning (ML) have opened up new avenues for its extensive use in real-world applications. Facial recognition, specifically, is used from simple friend s…
ICSREF: A Framework for Automated Reverse Engineering of Industrial Control Systems Binaries
Anastasis Keliris, Michail Maniatakos
The security of Industrial Control Systems (ICS) has been attracting increased attention over the past years, following the discovery of real threats targeting industrial environme…