16 citations · 34 across the 3 of their papers we have counts for
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cs.LG2018
Deep Q learning for fooling neural networks
Mandar Kulkarni
Deep learning models are vulnerable to external attacks. In this paper, we propose a Reinforcement Learning (RL) based approach to generate adversarial examples for the pre-trained…
cs.LG2018
Siamese networks for generating adversarial examples
Mandar Kulkarni, Aria Abubakar
Machine learning models are vulnerable to adversarial examples. An adversary modifies the input data such that humans still assign the same label, however, machine learning models…
cs.LG2017★ 16 cited
Layer-wise training of deep networks using kernel similarity
Mandar Kulkarni, Shirish Karande
Deep learning has shown promising results in many machine learning applications. The hierarchical feature representation built by deep networks enable compact and precise encoding…