What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow

no code implementations • 27 Jun 2019 • Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, Hridesh Rajan

Last and somewhat surprisingly, a tug of war between providing higher levels of abstractions and the need to understand the behavior of the trained model is prevalent.

Software Engineering

A Comprehensive Study on Deep Learning Bug Characteristics

no code implementations • 3 Jun 2019 • Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan

The key findings of our study include: data bug and logic bug are the most severe bug types in deep learning software appearing more than 48% of the times, major root causes of these bugs are Incorrect Model Parameter (IPS) and Structural Inefficiency (SI) showing up more than 43% of the times.

Identifying Classes Susceptible to Adversarial Attacks

no code implementations • 30 May 2019 • Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan

Based on the distance among original classes, we create mapping among original classes and adversarial classes that helps to reduce the randomness of a model to a significant amount in an adversarial setting.

Adversarial Attack

Sentiment analysis of twitter data

no code implementations • 15 Nov 2017 • Hamid Bagheri, Md Johirul Islam

Social networks are the main resources to gather information about people's opinion and sentiments towards different topics as they spend hours daily on social media and share their opinion.

Sentiment Analysis