S. Kuniyilh

Even with minimal data poisoning (10%), machine learning-based fault detection systems in critical Cyber-Physical Systems can be backdoored to misclassify faults when triggered by specific adversarial patterns.

Achieve user-controlled privacy in human activity recognition by disentangling sensitive attributes from activity features in sensor data.