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AI Safety

2972 directly classified papers

Papers per year

Papers

Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search ICCV 2019
Blameworthiness in Multi-Agent Settings AAAI 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP IJCNLP 2019
Revisiting the Evaluation of Theory of Mind through Question Answering IJCNLP 2019
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019
Certified Adversarial Robustness for Deep Reinforcement Learning CORL 2019
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction NAACL 2019
Certified Adversarial Robustness via Randomized Smoothing ICML 2019
Are You for Real? Detecting Identity Fraud via Dialogue Interactions IJCNLP 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019
Provable Robustness of ReLU networks via Maximization of Linear Regions AISTATS 2019
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes ICML 2019
Safe Convex Learning under Uncertain Constraints AISTATS 2019
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour IJCAI 2019
A Learnable Safety Measure CORL 2019
Moral Permissibility of Action Plans AAAI 2019
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019
Interpretation of Neural Networks Is Fragile AAAI 2019
Inverse Abstraction of Neural Networks Using Symbolic Interpolation AAAI 2019
Towards Adversarially Robust Object Detection ICCV 2019
Towards Reliable Learning for High Stakes Applications AAAI 2019
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation ICML 2019
Analyzing Federated Learning through an Adversarial Lens ICML 2019
Robust Decision Trees Against Adversarial Examples ICML 2019
Explainable, Normative, and Justified Agency AAAI 2019