95 citations · 221 across the 15 of their papers we have counts for
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cs.LG2022★ 1 cited
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Stephen Casper, Kaivalya Hariharan, Dylan Hadfield-Menell
This paper considers the problem of helping humans exercise scalable oversight over deep neural networks (DNNs). Adversarial examples can be useful by helping to reveal weaknesses…
cs.LG2022★ 15 cited
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Räuker, Anson Ho, Stephen Casper +1
The last decade of machine learning has seen drastic increases in scale and capabilities. Deep neural networks (DNNs) are increasingly being deployed in the real world. However, th…