Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Animesh Singh

Animesh Singh
Senior Technical Staff Member and Program Director, IBM

Animesh Singh is a senior technical staff member (STSM) and program director for the IBM Watson and Cloud Platform, where he leads machine learning and deep learning initiatives on IBM Cloud and works with communities and customers to design and implement deep learning, machine learning, and cloud computing frameworks. He has a proven track record of driving design and implementation of private and public cloud solutions from concept to production. Animesh has worked on cutting-edge projects for IBM enterprise customers in the telco, banking, and healthcare industries, particularly focusing on cloud and virtualization technologies, and led the design and development first IBM public cloud offering.

Sessions

1:50pm–2:30pm Thursday, March 28, 2019
Use the Jupyter Notebook to integrate adversarial attacks into a model training pipeline to detect vulnerabilities
Data Science, Machine Learning & AI
 Location: 2009
Secondary topics:  Security and Privacy
Animesh Singh (IBM), Tommy Li (IBM)
Average rating: ****.
(4.50, 2 ratings)
Animesh Singh and Tommy Li explain how to implement state-of-the-art methods for attacking and defending classifiers using the open source Adversarial Robustness Toolbox. The library provides AI developers with interfaces that support the composition of comprehensive defense systems using individual methods as building blocks. Read more.