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AI Safety

3,026 papers

Papers per year

5
111
1031
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Papers

Safe Exploration for Interactive Machine Learning NIPS 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NIPS 2019
Adversarial Training and Robustness for Multiple Perturbations NIPS 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes NIPS 2019
Attribution-Based Confidence Metric For Deep Neural Networks NIPS 2019
Ask not what AI can do, but what AI should do: Towards a framework of task delegability NIPS 2019
Adversarial Music: Real world Audio Adversary against Wake-word Detection System NIPS 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Deep Learning without Weight Transport NIPS 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers NIPS 2019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NIPS 2019
A Learnable Safety Measure CORL 2019
Counter-example Guided Learning of Bounds on Environment Behavior CORL 2019
Certified Adversarial Robustness for Deep Reinforcement Learning CORL 2019
Blameworthiness in Multi-Agent Settings AAAI 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks AAAI 2019
Inverse Abstraction of Neural Networks Using Symbolic Interpolation AAAI 2019
Towards Reliable Learning for High Stakes Applications AAAI 2019
Interpretation of Neural Networks Is Fragile AAAI 2019
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019
Verification of RNN-Based Neural Agent-Environment Systems AAAI 2019
Moral Permissibility of Action Plans AAAI 2019
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education AAAI 2019
Designing Preferences, Beliefs, and Identities for Artificial Intelligence AAAI 2019