Matthew Wicker
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze
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Topic Evolution
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Keyword Champion
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Unstoppable Β· Bronze
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Keyword Collector
(55)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory Β· Machine Learning
(7)
Deep Learning
(5)
Learning Types Β· Machine Learning
(3)
Application Areas
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Analysis
(1)
Applications
(1)
Keywords
bayesian neural network
(5)
adversarial robustness
(4)
posterior robustness
(2)
fairness certification
(2)
neural network
(2)
individual fairness
(2)
adversarial attack
(2)
variational inference
(1)
data poisoning
(1)
robust optimization
(1)
machine unlearning
(1)
feature attribution
(1)
model alignment
(1)
posterior distribution
(1)
adversarial training
(1)
point cloud
(1)
algorithmic fairness
(1)
wasserstein ball
(1)
hamiltonian monte carlo
(1)
weakly supervised learning
(1)
Papers
Abstract Gradient Training: A Unified Certification Framework for Data Poisoning, Unlearning, and Differential Privacy
JMLR 2026
Certification of Distributional Individual Fairness
NeurIPS 2023
Use perturbations when learning from explanations
NeurIPS 2023
Individual Fairness Guarantees for Neural Networks
IJCAI 2022
Bayesian Inference with Certifiable Adversarial Robustness
AISTATS 2021
Certification of iterative predictions in Bayesian neural networks
UAI 2021
Probabilistic Safety for Bayesian Neural Networks
UAI 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
NeurIPS 2020
Robustness of 3D Deep Learning in an Adversarial Setting
CVPR 2019
Statistical Guarantees for the Robustness of Bayesian Neural Networks
IJCAI 2019