Florian Tramèr

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, Brendan Avent et al. · Foundations and Trends® in Machine Learning · 2020 · 4.2K citations · Full text

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli et al. · arXiv (Cornell University) · 2021 · 2.1K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

Ensemble Adversarial Training: Attacks and Defenses

Florian Tramèr, Alexey Kurakin, Nicolas Papernot et al. · arXiv (Cornell University) · 2017 · 1.1K citations · Full text

Artificial Intelligence, Adversarial Examples, Data Augmentation +14

Stealing Machine Learning Models via Prediction APIs

Florian Tramèr, Fan Zhang, Ari Juels et al. · arXiv (Cornell University) · 2016 · 733 citations · Full text

The Space of Transferable Adversarial Examples

Florian Tramèr, Nicolas Papernot, Ian Goodfellow et al. · arXiv (Cornell University) · 2017 · 435 citations · Full text

Artificial Intelligence, Transferable Adversarial Examples, Adversarial Examples +13