Paul Montague
14 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Optimization & Theory
(4)
Learning Types Β· Deep Learning
(3)
Security & Privacy
(2)
Application Areas
(2)
Architectures
(2)
Differential Privacy
(2)
Models
(2)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Keywords
adversarial example
(4)
adversarial robustness
(4)
adversarial learning
(3)
certified defense
(3)
concept erasure
(2)
differential privacy
(2)
diffusion model
(2)
poisoning attack
(2)
offline reinforcement learning
(1)
model editing
(1)
representation learning
(1)
automated reasoning
(1)
harmful content
(1)
feature space
(1)
adversarial training
(1)
game theory
(1)
adversarial attack
(1)
malware detection
(1)
robustness
(1)
parameter optimization
(1)
Papers
Certified but Fooled! Breaking Certified Defenses with Ghost Certificates
AAAI 2026
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
ICLR 2025
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
ICLR 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security
ICML 2025
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
AAAI 2024
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
NeurIPS 2024
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
ICML 2024
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
AAAI 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
AAAI 2023
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
NeurIPS 2022
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
AISTATS 2022
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
AAAI 2021
Improving Adversarial Robustness by Enforcing Local and Global Compactness
ECCV 2020
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
ICLR 2019