Sophie Hilgard

According to our database, Sophie Hilgard authored at least 12 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation.

Stefan Wojcik, Sophie Hilgard, Nick Judd, Delia Mocanu, Stephen Ragain, M. B. Fallin Hunzaker, Keith Coleman, Jay Baxter

CoRR, 2022

Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?

Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

Feature Attributions and Counterfactual Explanations Can Be Manipulated.

Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju

CoRR, 2021

Counterfactual Explanations Can Be Manipulated.

Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju, Sameer Singh

CoRR, 2021

Learning Representations by Humans, for Humans.

Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes

Proceedings of the 38th International Conference on Machine Learning, 2021

Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring.

Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations.

Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju

CoRR, 2020

From Predictions to Decisions: Using Lookahead Regularization.

Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods.

Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods.

Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju

CoRR, 2019

Learning Key-Value Store Design.

Stratos Idreos, Niv Dayan, Wilson Qin, Mali Akmanalp, Sophie Hilgard, Andrew Ross, James Lennon, Varun Jain, Harshita Gupta, David Li, Zichen Zhu

CoRR, 2019

Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn.

Stratos Idreos, Niv Dayan, Wilson Qin, Mali Akmanalp, Sophie Hilgard, Andrew Ross, James Lennon, Varun Jain, Harshita Gupta, David Li, Zichen Zhu

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019