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← Core AI
Artificial Intelligence
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Core AI
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AI Safety
2972 directly classified papers
Papers per year
2002: 1
2006: 1
2007: 1
2012: 4
2013: 1
2015: 5
2016: 1
2017: 13
2018: 40
2019: 91
2020: 111
2021: 181
2022: 204
2023: 333
2024: 642
2025: 1031
2026: 312
Papers
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
EMNLP 2020
Partial Adversarial Behavior Deception in Security Games
IJCAI 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
ICML 2020
Reevaluating Adversarial Examples in Natural Language
EMNLP 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
ICML 2020
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees
L4DC 2020
ML-LOO: Detecting Adversarial Examples with Feature Attribution
AAAI 2020
Toward Operational Safety Verification of AI-Enabled CPS (Student Abstract)
AAAI 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
AAAI 2020
Asymptotically Unambitious Artificial General Intelligence
AAAI 2020
Deception through Half-Truths
AAAI 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data
CVPR 2020
Achieving 100Gbps Intrusion Prevention on a Single Server
OSDI 2020
Branch and Bound for Piecewise Linear Neural Network Verification
JMLR 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
ICML 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning
L4DC 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
RSS 2020
Learning Human Objectives by Evaluating Hypothetical Behavior
ICML 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes
ICML 2020
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning
COLING 2020
Learning from Interventions Using Hierarchical Policies for Safe Learning
AAAI 2020
Safe Policy Learning for Continuous Control
CORL 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
NIPS 2020
Reactive motion planning with probabilisticsafety guarantees
CORL 2020
Defending Against Model Stealing Attacks With Adaptive Misinformation
CVPR 2020
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