Pedro Sandoval Segura

According to our database, Pedro Sandoval Segura authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

A Simple and Efficient Baseline for Data Attribution on Images.

Vasu Singla, Pedro Sandoval Segura, Micah Goldblum, Jonas Geiping, Tom Goldstein

CoRR, 2023

JPEG Compressed Images Can Bypass Protections Against AI Editing.

Pedro Sandoval Segura, Jonas Geiping, Tom Goldstein

CoRR, 2023

What Can We Learn from Unlearnable Datasets?

Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adversarially robust segmentation models learn perceptually-aligned gradients.

Pedro Sandoval Segura

CoRR, 2022

AutoProtoNet: Interpretability for Prototypical Networks.

Pedro Sandoval Segura, Wallace Lawson

CoRR, 2022

Autoregressive Perturbations for Data Poisoning.

Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Poisons that are learned faster are more effective.

Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity.

Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

An Information-Theoretic Perspective on Overfitting and Underfitting.

Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019

Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector.

Mehdi Drissi, Pedro Sandoval Segura, Vivaswat Ojha, Julie Medero

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018

Program Language Translation Using a Grammar-Driven Tree-to-Tree Model.

Mehdi Drissi, Olivia Watkins, Aditya Khant, Vivaswat Ojha, Pedro Sandoval Segura, Rakia Segev, Eric Weiner, Robert Keller

CoRR, 2018