Concepedia

Liam Fowl

LF

16

Publications

374

Citations

13

H-Index

2019

Active since

Affiliations

University of Maryland, College Park(Current)

University of Siegen

United States Naval Academy

Liam Fowl is an author at University of Maryland, College Park specializing in engineering, data science, and computer science.

Top concepts

EngineeringData ScienceComputer ScienceMachine LearningAdversarial Machine LearningDeep LearningArtificial IntelligenceData PrivacyData SecurityInformation Security

Publications per year

2019–2022

16

Publications

16

MetaPoison: Practical General-purpose Clean-label Data Poisoning

Wei Huang, Jonas Geiping, Liam Fowl et al. · arXiv (Cornell University) · 2020 · 81 citations · Full text

Artificial Intelligence, Bilevel Optimization, Engineering +18

Adversarially Robust Few-Shot Learning: A Meta-Learning Approach

Micah Goldblum, Liam Fowl, Tom Goldstein · arXiv (Cornell University) · 2019 · 42 citations · Full text

Artificial Intelligence, Few-shot Learning, Image Classification +15

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Jonas Geiping, Liam Fowl, Wei Huang et al. · arXiv (Cornell University) · 2020 · 36 citations · Full text

Artificial Intelligence, Data Poisoning Attacks, Convolutional Neural Network +19

Adversarial Examples Make Strong Poisons

Liam Fowl, Micah Goldblum, Ping-yeh Chiang et al. · arXiv (Cornell University) · 2021 · 33 citations · Full text

Artificial Intelligence, Adversarial Examples, Adversarial Poisoning +15

Understanding Generalization through Visualizations

Wei Huang, Zeyad Emam, Micah Goldblum et al. · arXiv (Cornell University) · 2019 · 25 citations · Full text

Artificial Intelligence, Geometric Learning, Engineering +16

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