11 citations · 12 across the 6 of their papers we have counts for
4 papers · 1 filter
On the Trade-Off Between Transparency and Security in Adversarial Machine Learning
Lucas Fenaux, Christopher Srinivasa, Florian Kerschbaum
Transparency and security are both central to Responsible AI, but they may conflict in adversarial settings. We investigate the strategic effect of transparency for agents through…
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa +1
We present a novel hybrid algorithm for training Deep Neural Networks that combines the state-of-the-art Gradient Descent (GD) method with a Mixed Integer Linear Programming (MILP)…
Nonlocal optimization of binary neural networks
Amir Khoshaman, Giuseppe Castiglione, Christopher Srinivasa
We explore training Binary Neural Networks (BNNs) as a discrete variable inference problem over a factor graph. We study the behaviour of this conversion in an under-parameterized…
Parity Partition Coding for Sharp Multi-Label Classification
Christopher G. Blake, Giuseppe Castiglione, Christopher Srinivasa +1
The problem of efficiently training and evaluating image classifiers that can distinguish between a large number of object categories is considered. A novel metric, sharpness, is p…