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Journal Articles
- 2021
[j1]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li
:
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. SN Comput. Sci. 2(1): 32 (2021)
Conference and Workshop Papers
- 2021
- [c1]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh:
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. BlackboxNLP@EMNLP 2021: 69-78
Informal and Other Publications
- 2022
- [i4]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd:
Identifying Adversarial Attacks on Text Classifiers. CoRR abs/2201.08555 (2022) - [i3]Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd:
TCAB: A Large-Scale Text Classification Attack Benchmark. CoRR abs/2210.12233 (2022) - 2019
- [i2]Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan:
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. CoRR abs/1909.04200 (2019) - [i1]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
Does Interpretability of Neural Networks Imply Adversarial Robustness? CoRR abs/1912.03430 (2019)
Coauthor Index
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