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)

Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector. - Mehdi Drissi; Pedro Sandoval Segura; Vivaswat Ojha; Julie Medero (SemEval@NAACL-HLT, 2019)

An Information-Theoretic Perspective on Overfitting and Underfitting. - Daniel Bashir; George D. Montañez; Sonia Sehra; Pedro Sandoval Segura; Julius Lauw (Australasian Conference on Artificial Intelligence, 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 (ICAART (2), 2020)

Poisons that are learned faster are more effective. - Pedro Sandoval Segura; Vasu Singla; Liam Fowl; Jonas Geiping; Micah Goldblum; David Jacobs 001; Tom Goldstein (CVPR Workshops, 2022)

Autoregressive Perturbations for Data Poisoning. - Pedro Sandoval Segura; Vasu Singla; Jonas Geiping; Micah Goldblum; Tom Goldstein; David Jacobs 001 (NeurIPS, 2022)

AutoProtoNet: Interpretability for Prototypical Networks. - Pedro Sandoval Segura; Wallace Lawson (CoRR, 2022)

Adversarially robust segmentation models learn perceptually-aligned gradients. - Pedro Sandoval Segura (CoRR, 2022)

What Can We Learn from Unlearnable Datasets? - Pedro Sandoval Segura; Vasu Singla; Jonas Geiping; Micah Goldblum; Tom Goldstein (NeurIPS, 2023)

JPEG Compressed Images Can Bypass Protections Against AI Editing. - Pedro Sandoval Segura; Jonas Geiping; Tom Goldstein (CoRR, 2023)

A Simple and Efficient Baseline for Data Attribution on Images. - Vasu Singla; Pedro Sandoval Segura; Micah Goldblum; Jonas Geiping; Tom Goldstein (CoRR, 2023)

Learning from Convolution-based Unlearnable Datastes. - Dohyun Kim; Pedro Sandoval Segura (CoRR, 2024)

DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments. - Xijun Wang 002; Pedro Sandoval Segura; Chengyuan Zhang; Junyun Huang; Tianrui Guan; Ruiqi Xian; Fuxiao Liu; Rohan Chandra; Boqing Gong; Dinesh Manocha (CoRR, 2024)

Using Attention Sinks to Identify and Evaluate Dormant Heads in Pretrained LLMs. - Pedro Sandoval Segura; Xijun Wang; Ashwinee Panda; Micah Goldblum; Ronen Basri; Tom Goldstein; David Jacobs 001 (CoRR, 2025)