Liam Fowl
8 papers · 2020–2022 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(22)
β
The Questioner
Conferences
NIPS (4)
ICML (2)
AAAI (1)
CVPR (1)
Top co-authors
Research topics
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
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
NIPS 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
ICML 2022
Adversarial Examples Make Strong Poisons
NIPS 2021
Adversarially Robust Distillation
AAAI 2020
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach
NIPS 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning
NIPS 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
ICML 2020