Proposes unvalidated accountability protocols combining deep steganography, seeding, probabilistic benchmarking, and blockchain to verify MLaaS quality claims.
Explainable artificial intelligence (xai),
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Uncheatable Machine Learning Inference
Proposes unvalidated accountability protocols combining deep steganography, seeding, probabilistic benchmarking, and blockchain to verify MLaaS quality claims.