Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2018) · cited 457× · AI/ML
Press Enter · cited answer in seconds

Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients

Summary

Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients is a scholarly article[1].

Key Facts

  • Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients
MLA “Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients.
BibTeX @misc{4ortxyz_improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients — https://4ort.xyz/entity/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients · Last refreshed: