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2020 – today
- 2022
[c6]Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand:
Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings? ICWSM 2022: 183-193- [i10]Stefan Wojcik, Sophie Hilgard, Nick Judd
, Delia Mocanu, Stephen Ragain, M. B. Fallin Hunzaker, Keith Coleman, Jay Baxter:
Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation. CoRR abs/2210.15723 (2022) - 2021
- [c5]Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju:
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. AIES 2021: 989-999 - [c4]Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes:
Learning Representations by Humans, for Humans. ICML 2021: 4227-4238 - [i9]Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju, Sameer Singh:
Counterfactual Explanations Can Be Manipulated. CoRR abs/2106.02666 (2021) - [i8]Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju:
Feature Attributions and Counterfactual Explanations Can Be Manipulated. CoRR abs/2106.12563 (2021) - [i7]Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand:
Do explanations increase the effectiveness of AI-crowd generated fake news warnings? CoRR abs/2112.03450 (2021) - 2020
- [c3]Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju:
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods. AIES 2020: 180-186 - [c2]Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes:
From Predictions to Decisions: Using Lookahead Regularization. NeurIPS 2020 - [i6]Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes:
From Predictions to Decisions: Using Lookahead Regularization. CoRR abs/2006.11638 (2020) - [i5]Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju:
How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations. CoRR abs/2008.05030 (2020) - [i4]Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju:
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. CoRR abs/2012.00423 (2020)
2010 – 2019
- 2019
- [c1]Stratos Idreos, Niv Dayan, Wilson Qin, Mali Akmanalp, Sophie Hilgard, Andrew Ross, James Lennon, Varun Jain, Harshita Gupta, David Li, Zichen Zhu:
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn. CIDR 2019 - [i3]Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes:
Learning Representations by Humans, for Humans. CoRR abs/1905.12686 (2019) - [i2]Stratos Idreos, Niv Dayan, Wilson Qin, Mali Akmanalp, Sophie Hilgard, Andrew Ross, James Lennon, Varun Jain, Harshita Gupta, David Li, Zichen Zhu:
Learning Key-Value Store Design. CoRR abs/1907.05443 (2019) - [i1]Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju:
How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods. CoRR abs/1911.02508 (2019)
Coauthor Index
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