4 papers · 1 filter
Network Inversion and Its Applications
Pirzada Suhail, Hao Tang, Amit Sethi
Neural networks have emerged as powerful tools across various applications, yet their decision-making process often remains opaque, leading to them being perceived as "black boxes.…
Network Inversion for Training-Like Data Reconstruction
Pirzada Suhail, Amit Sethi
Machine Learning models are often trained on proprietary and private data that cannot be shared, though the trained models themselves are distributed openly assuming that sharing m…
Network Inversion of Convolutional Neural Nets
Pirzada Suhail, Amit Sethi
Neural networks have emerged as powerful tools across various applications, yet their decision-making process often remains opaque, leading to them being perceived as "black boxes.…
Network Inversion of Binarised Neural Nets
Pirzada Suhail, Supratik Chakraborty, Amit Sethi
While the deployment of neural networks, yielding impressive results, becomes more prevalent in various applications, their interpretability and understanding remain a critical cha…