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AccumulativePoisoningAttacksonReal-timeData

Neural Information Processing Systems

However,untrusted data sources leavethe services vulnerable to poisoning attacks [5, 28], where adversaries can inject malicious training data to degrade model accuracy.







191595dc11b4d6e54f01504e3aa92f96-Paper.pdf

Neural Information Processing Systems

Inthiswork, we focus on a classification problem and investigate the behavior of both noncalibrated and calibrated negativelog-likelihood (CNLL) ofadeep ensemble as a function of the ensemble size and the member network size.



16bda725ae44af3bb9316f416bd13b1b-Paper.pdf

Neural Information Processing Systems

However, since this proof relies on the existence of a convergent subsequence, their proof does not reveal any rate forglobal convergence.