6 citations · 11 across the 9 of their papers we have counts for
4 papers · 1 filter
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection
Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono
Fraudulent transactions and how to detect them remain a significant problem for financial institutions around the world. The need for advanced fraud detection systems to safeguard…
Histopathological Image Classification and Vulnerability Analysis using Federated Learning
Sankalp Vyas, Amar Nath Patra, Raj Mani Shukla
Healthcare is one of the foremost applications of machine learning (ML). Traditionally, ML models are trained by central servers, which aggregate data from various distributed devi…
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks
Aysha Thahsin Zahir Ismail, Raj Mani Shukla
Distributed Collaborative Machine Learning (DCML) is a potential alternative to address the privacy concerns associated with centralized machine learning. The Split learning (SL) a…
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla +2
Adversarial attacks are a type of attack on machine learning models where an attacker deliberately modifies the inputs to cause the model to make incorrect predictions. Adversarial…