L G ] 2 6 M ay 2 01 9 Enhancing ML Robustness Using Physical-World Constraints
2019 0 citations44 references
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Abstract
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TL;DRA hierarchical classification paradigm is designed that enforces invariants that limit the attacker’s action space and is found that applying invariants to the classification task makes robustness and accuracy feasible together. (Semantic Scholar)

