1k citations · 3k across the 14 of their papers we have counts for
Showing 2019 · cs.LGShow all
3 papers · 2 filters
cs.LG2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, Ian Goodfellow +3
Semi-supervised learning has proven to be a powerful paradigm for leveraging unlabeled data to mitigate the reliance on large labeled datasets. In this work, we unify the current d…
cs.LG2019★ 12 cited
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks
Ian Goodfellow
In this article I describe a research agenda for securing machine learning models against adversarial inputs at test time. This article does not present results but instead shares…
cs.LG2019★ 579 cited
On Evaluating Adversarial Robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot +6
Correctly evaluating defenses against adversarial examples has proven to be extremely difficult. Despite the significant amount of recent work attempting to design defenses that wi…