NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. - Isaac Ahern; Adam Noack; Luis Guzman-Nateras; Dejing Dou; Boyang Li 001; Jun Huan (CoRR, 2019)

Does Interpretability of Neural Networks Imply Adversarial Robustness? - Adam Noack; Isaac Ahern; Dejing Dou; Boyang Li 001 (CoRR, 2019)

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 001 (BlackboxNLP@EMNLP, 2021)

An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. - Adam Noack; Isaac Ahern; Dejing Dou; Boyang Li 001 (SN Comput. Sci., 2021)

Identifying Adversarial Attacks on Text Classifiers. - Zhouhang Xie; Jonathan Brophy; Adam Noack; Wencong You; Kalyani Asthana; Carter Perkins; Sabrina Reis; Sameer Singh 001; Daniel Lowd (CoRR, 2022)

TCAB: A Large-Scale Text Classification Attack Benchmark. - Kalyani Asthana; Zhouhang Xie; Wencong You; Adam Noack; Jonathan Brophy; Sameer Singh 001; Daniel Lowd (CoRR, 2022)