Adriana Olteanu

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Certifying and Removing Disparate Impact 2015 Michael Feldman
Sorelle A. Friedler
John Moeller
Carlos Scheidegger
Suresh Venkatasubramanian
1
+ PDF Chat The Limitations of Deep Learning in Adversarial Settings 2016 Nicolas Papernot
Patrick McDaniel
Somesh Jha
Matt Fredrikson
Z. Berkay Celik
Ananthram Swami
1
+ Towards A Rigorous Science of Interpretable Machine Learning 2017 Finale Doshi‐Velez
Been Kim
1
+ PDF Chat Who is trustworthy? Predicting trustworthy intentions and behavior. 2018 Emma Levine
T. Bradford Bitterly
Taya R. Cohen
Maurice E. Schweitzer
1
+ Certified Defenses against Adversarial Examples 2018 Aditi Raghunathan
Jacob Steinhardt
Percy Liang
1
+ PDF Chat Towards Composable Bias Rating of AI Services 2018 Biplav Srivastava
Francesca Rossi
1
+ PDF Chat On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products 2017 Kush R. Varshney
Homa Alemzadeh
1
+ PDF Chat FactSheets: Increasing trust in AI services through supplier's declarations of conformity 2019 Matthew Arnold
Rachel Bellamy
Michael Hind
Stephanie Houde
Sameep Mehta
Aleksandra Mojsilović
Ravi Nair
Karthikeyan Natesan Ramamurthy
Adriana Olteanu
David Piorkowski
1
+ Adversarial Robustness Toolbox v1.0.0 2018 Maria-Irina Nicolae
Mathieu Sinn
Minh Ngoc Tran
Beat Buesser
Ambrish Rawat
Martin Wistuba
Valentina Zantedeschi
Nathalie Baracaldo
Bryant Chen
Heiko Ludwig
1
+ PDF Chat Model Cards for Model Reporting 2019 Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
1
+ The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards 2018 Sarah Holland
Ahmed Hosny
Sarah Newman
Joshua J. Joseph
Kasia Chmielinski
1