Blaine Nelson
7 papers · 2010–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
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Keyword Pioneer
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Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Computer Science
(1)
Deep Learning
(1)
Security & Privacy
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Differential Privacy
(1)
Learning Types Β· Deep Learning
(1)
Optimization & Theory
(1)
Keywords
adversarial learning
(3)
support vector machine
(2)
classifier evasion
(2)
convex optimization
(2)
kernel methods
(2)
adversarial attack
(2)
prompt engineering
(1)
safety alignment
(1)
bayesian inference
(1)
ai safety
(1)
posterior sampling
(1)
label noise
(1)
sensitivity analysis
(1)
adversarial classification
(1)
semantic representation
(1)
query complexity
(1)
kernel matrix
(1)
black-box attack
(1)
model safety
(1)
ensemble learning
(1)
Papers
Large Language Models Encode Semantics and Alignment in Linearly Separable Representations
IJCNLP 2025
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
NeurIPS 2024
Differential Privacy for Bayesian Inference through Posterior Sampling
JMLR 2017
Query Strategies for Evading Convex-Inducing Classifiers
JMLR 2012
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers
ACML 2011
Support Vector Machines Under Adversarial Label Noise
ACML 2011
Near-Optimal Evasion of Convex-Inducing Classifiers
AISTATS 2010