428 citations · 1.3k across the 9 of their papers we have counts for
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3 papers · 1 filter
cs.LG2017★ 70 cited
Exploring the Space of Black-box Attacks on Deep Neural Networks
Arjun Nitin Bhagoji, Warren He, Bo Li +1
Existing black-box attacks on deep neural networks (DNNs) so far have largely focused on transferability, where an adversarial instance generated for a locally trained model can "t…
cs.LG2017★ 79 cited
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He, James Wei, Xinyun Chen +2
Ongoing research has proposed several methods to defend neural networks against adversarial examples, many of which researchers have shown to be ineffective. We ask whether a stron…
cs.CR2017★ 214 cited
Proof of Luck: an Efficient Blockchain Consensus Protocol
Mitar Milutinovic, Warren He, Howard Wu +1
In the paper, we present designs for multiple blockchain consensus primitives and a novel blockchain system, all based on the use of trusted execution environments (TEEs), such as…