Adam Gleave
12 papers · 2016–2026 · 6 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (20) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze 𧬠Topic Evolution
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Research topics
Keywords
adversarial attack
(3)
reward function
(3)
deep reinforcement learning
(2)
reward learning
(2)
large language model
(2)
reinforcement learning
(2)
regret bound
(2)
adversarial training
(2)
robustness
(1)
safety alignment
(1)
policy optimization
(1)
game playing
(1)
worst-case performance
(1)
harmful content
(1)
zero-sum game
(1)
data poisoning
(1)
game artificial intelligence
(1)
backdoor attack
(1)
game theory
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adversarial robustness
(1)
Papers
STACK: Adversarial Attacks on LLM Safeguard Pipelines
AAAI 2026
Can Go AIs Be Adversarially Robust?
AAAI 2025
Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility
EMNLP 2025
Scaling Trends for Data Poisoning in LLMs
AAAI 2025
Scaling Trends in Language Model Robustness
ICML 2025
STARC: A General Framework For Quantifying Differences Between Reward Functions
ICLR 2024
Adversarial Policies Beat Superhuman Go AIs
ICML 2023
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
ICML 2023
Quantifying Differences in Reward Functions
ICLR 2021
Stable-Baselines3: Reliable Reinforcement Learning Implementations
JMLR 2021
Adversarial Policies: Attacking Deep Reinforcement Learning
ICLR 2020
Firmament: Fast, Centralized Cluster Scheduling at Scale
OSDI 2016