Pedro Sandoval Segura

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Machine Learning

Main Conclusions

Relative Entropy

Jpeg Compressed Images

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein
What Can We Learn from Unlearnable Datasets? CoRR (2023)
Pedro Sandoval Segura, Jonas Geiping, Tom Goldstein
JPEG Compressed Images Can Bypass Protections Against AI Editing. CoRR (2023)
Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein
What Can We Learn from Unlearnable Datasets? NeurIPS (2023)
Vasu Singla, Pedro Sandoval Segura, Micah Goldblum, Jonas Geiping, Tom Goldstein
A Simple and Efficient Baseline for Data Attribution on Images. CoRR (2023)
Pedro Sandoval Segura
Adversarially robust segmentation models learn perceptually-aligned gradients. CoRR (2022)
Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs
Autoregressive Perturbations for Data Poisoning. NeurIPS (2022)
Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
Poisons that are learned faster are more effective. CVPR Workshops (2022)
Pedro Sandoval Segura, Wallace Lawson
AutoProtoNet: Interpretability for Prototypical Networks. CoRR (2022)
Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David W. Jacobs
Autoregressive Perturbations for Data Poisoning. CoRR (2022)
Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
Poisons that are learned faster are more effective. CoRR (2022)
Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity. ICAART (2) (2020)
Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw
An Information-Theoretic Perspective on Overfitting and Underfitting. Australasian Conference on Artificial Intelligence (2020)
Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw
An Information-Theoretic Perspective on Overfitting and Underfitting. CoRR (2020)
Mehdi Drissi, Pedro Sandoval Segura, Vivaswat Ojha, Julie Medero
Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector. CoRR (2019)
Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity. CoRR (2019)
Mehdi Drissi, Pedro Sandoval Segura, Vivaswat Ojha, Julie Medero
Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector. SemEval@NAACL-HLT (2019)
Mehdi Drissi, Olivia Watkins, Aditya Khant, Vivaswat Ojha, Pedro Sandoval Segura, Rakia Segev, Eric Weiner, Robert Keller
Program Language Translation Using a Grammar-Driven Tree-to-Tree Model. CoRR (2018)