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Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2021) · cited 11× · AI/ML
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Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints

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Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints
MLA “Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints.
BibTeX @misc{4ortxyz_improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints}}, year = {2026}, url = {https://4ort.xyz/entity/improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints — https://4ort.xyz/entity/improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints (retrieved 2026-05-24)

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