-
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
We propose a novel genetic-algorithm technique that generates black-box ...
11/08/2020 ∙ by Alex Mathai, et al. ∙
0
∙
share
read it
-
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Text classification models, especially neural networks based models, hav...
01/31/2020 ∙ by Utkarsh Desai, et al. ∙
0
∙
share
read it
-
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Deep learning is one of the fastest growing technologies in computer sci...
05/07/2019 ∙ by Srikanth Tamilselvam, et al. ∙
0
∙
share
read it
-
Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization
Fooling deep neural networks with adversarial input have exposed a signi...
11/04/2018 ∙ by Shreya Khare, et al. ∙
0
∙
share
read it
-
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
With an abundance of research papers in deep learning, reproducibility o...
11/09/2017 ∙ by Akshay Sethi, et al. ∙
0
∙
share
read it
-
Hi, how can I help you?: Automating enterprise IT support help desks
Question answering is one of the primary challenges of natural language ...
11/02/2017 ∙ by Senthil Mani, et al. ∙
0
∙
share
read it
-
mAnI: Movie Amalgamation using Neural Imitation
Cross-modal data retrieval has been the basis of various creative tasks ...
08/16/2017 ∙ by Naveen Panwar, et al. ∙
0
∙
share
read it
-
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models
Traditional software engineering programming paradigms are mostly object...
08/16/2017 ∙ by Anush Sankaran, et al. ∙
0
∙
share
read it
