Concepedia

Aditi Raghunathan

AR

26

Publications

4.3K

Citations

19

H-Index

1969

Active since

Affiliations

Stanford University(Current)

Google (United States)

Stanford Medicine

University of California, Berkeley

Central Food Technological Research Institute

Aditi Raghunathan is an author at Stanford University specializing in machine learning, engineering, and deep learning.

Top concepts

EngineeringMachine LearningDeep LearningComputer ScienceData ScienceArtificial IntelligenceSupervised LearningAdversarial Machine LearningData AugmentationNatural Language Processing

Publications per year

1969–2023

26

Publications

26

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli et al. · arXiv (Cornell University) · 2021 · 2.1K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

Certified Defenses against Adversarial Examples

Aditi Raghunathan, Jacob Steinhardt, Percy Liang · arXiv (Cornell University) · 2018 · 339 citations · Full text

Certified Defenses against Adversarial Examples

Aditi Raghunathan, Jacob Steinhardt, Percy Liang · arXiv (Cornell University) · 2018 · 303 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

Certified Robustness to Adversarial Word Substitutions

Robin Jia, Aditi Raghunathan, Kerem Göksel et al. · 2019 · 237 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Semidefinite relaxations for certifying robustness to adversarial examples

Aditi Raghunathan, Jacob Steinhardt, Percy Liang · arXiv (Cornell University) · 2018 · 210 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +13

Rows per page

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