27 citations · 120 across the 14 of their papers we have counts for
4 papers · 1 filter
Explaining Deep Learning Models using Causal Inference
Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy +1
Although deep learning models have been successfully applied to a variety of tasks, due to the millions of parameters, they are becoming increasingly opaque and complex. In order t…
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization
Shreya Khare, Rahul Aralikatte, Senthil Mani
Fooling deep neural networks with adversarial input have exposed a significant vulnerability in the current state-of-the-art systems in multiple domains. Both black-box and white-b…
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
Senthil Mani, Anush Sankaran, Rahul Aralikatte
For a given software bug report, identifying an appropriate developer who could potentially fix the bug is the primary task of a bug triaging process. A bug title (summary) and a d…
Sanskrit Sandhi Splitting using seq2(seq)^2
Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar +2
In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi. Sandhi splitting is the process of splitting a given compound word into…