20 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.CR2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks
Ehsanul Kabir, Zeyu Song, Md Rafi Ur Rashid +1
Federated learning (FL) is revolutionizing how we learn from data. With its growing popularity, it is now being used in many safety-critical domains such as autonomous vehicles and…
cs.CR2022★ 20 cited
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
Shagufta Mehnaz, Sayanton V. Dibbo, Ehsanul Kabir +2
Increasing use of machine learning (ML) technologies in privacy-sensitive domains such as medical diagnoses, lifestyle predictions, and business decisions highlights the need to be…