Alexander Robey
14 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (10)
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Triple Crown
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Keyword Collector
(74)
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The Questioner
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(5)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory
(7)
Learning Types
(5)
Application Areas
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Core Methods
(2)
Optimization
(2)
Natural Language Processing
(1)
Robotics
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
adversarial training
(4)
adversarial robustness
(3)
jailbreak attack
(2)
sample complexity
(2)
domain generalization
(2)
adversarial attack
(2)
imitation learning
(1)
visual question answering
(1)
benchmark evaluation
(1)
convex optimization
(1)
semidefinite programming
(1)
data augmentation
(1)
robust optimization
(1)
constrained optimization
(1)
ai safety
(1)
distributed optimization
(1)
policy optimization
(1)
class imbalance
(1)
message passing
(1)
adversarial learning
(1)
Papers
Omni-Attack: Adversarial Attacks on Open-Ended VQA in Black-Box Multimodal LLMs
CVPR 2026
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
IJCNLP 2025
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
ICLR 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
NeurIPS 2024
Position: A Safe Harbor for AI Evaluation and Red Teaming
ICML 2024
Do deep networks transfer invariances across classes?
ICLR 2022
On the Sample Complexity of Stability Constrained Imitation Learning
L4DC 2022
Probabilistically Robust Learning: Balancing Average and Worst-case Performance
ICML 2022
Probable Domain Generalization via Quantile Risk Minimization
NeurIPS 2022
Adversarial Robustness with Semi-Infinite Constrained Learning
NeurIPS 2021
Model-Based Domain Generalization
NeurIPS 2021
Optimal Algorithms for Submodular Maximization with Distributed Constraints
L4DC 2021
Learning Hybrid Control Barrier Functions from Data
CoRL 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
NeurIPS 2019