Adam Noack

According to our database, Adam Noack authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

TCAB: A Large-Scale Text Classification Attack Benchmark.

Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd

CoRR, 2022

Identifying Adversarial Attacks on Text Classifiers.

Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd

CoRR, 2022

2021

An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness.

Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li

SN Comput. Sci., 2021

What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations.

Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2019

Does Interpretability of Neural Networks Imply Adversarial Robustness?

Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li

CoRR, 2019

NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks.

Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan

CoRR, 2019