Liam Fowl
8 papers · 2020–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
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Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Learning Types · Machine Learning
(5)
Deep Learning
(4)
Application Areas
(4)
Learning Paradigms · Artificial Intelligence
(4)
Core AI
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Security & Privacy
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Privacy
(1)
Keywords
neural network
(3)
data poisoning
(3)
adversarial attack
(2)
few-shot learning
(2)
adversarial example
(2)
adversarial robustness
(2)
knowledge distillation
(1)
adversarial training
(1)
bilevel optimization
(1)
backdoor attack
(1)
decision boundary
(1)
poisoning attack
(1)
model generalization
(1)
gradient attack
(1)
evasion attack
(1)
privacy leakage
(1)
gradient inversion
(1)
feature extractor
(1)
gradient matching
(1)
data extraction
(1)
Papers
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective
CVPR 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
ICML 2022
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
NeurIPS 2022
Adversarial Examples Make Strong Poisons
NeurIPS 2021
Adversarially Robust Distillation
AAAI 2020
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach
NeurIPS 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning
NeurIPS 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
ICML 2020