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Nicholas Carlini
Researcher at Google
Publications - 104
Citations - 24459
Nicholas Carlini is an academic researcher from Google. The author has contributed to research in topics: Computer science & Robustness (computer science). The author has an hindex of 40, co-authored 78 publications receiving 15330 citations. Previous affiliations of Nicholas Carlini include University of California, Berkeley.
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AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation.
TL;DR: AdaMatch as mentioned in this paper unifies the tasks of unsupervised domain adaptation (UDA), semi-supervised learning (SSL), and Semi-Supervised Domain Adaptation (SSDA).
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Students Parrot Their Teachers: Membership Inference on Model Distillation
TL;DR: Membership inference attacks on a private dataset can succeed even if the target model is *never* queried on any actual training points, but only on inputs whose predictions are highly influenced by training data as discussed by the authors .
Proceedings ArticleDOI
Part-Based Models Improve Adversarial Robustness
TL;DR: Chawins et al. as discussed by the authors combine a part segmentation model with a tiny classifier and is trained end-to-end to simultaneously segment objects into parts and then classify the segmented object.
Journal ArticleDOI
Are aligned neural networks adversarially aligned?
Nicholas Carlini,Milad Nasr,Christopher A. Choquette-Choo,Matthew Jagielski,Irena Gao,Anas Awadalla,Pang Wei Koh,Daphne Ippolito,Katherine Lee,Florian Tramèr,Ludwig Schmidt +10 more
TL;DR: This article showed that NLP-based optimization attacks are insufficiently powerful to reliably attack aligned text models: even when current NLPbased attacks fail, we can find adversarial inputs with brute force.