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AI Safety

3,026 papers

Papers per year

5
111
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Papers

Adversarial Robustness with Non-uniform Perturbations NIPS 2021
Excess Capacity and Backdoor Poisoning NIPS 2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy NIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NIPS 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds NIPS 2021
Counterexample Guided RL Policy Refinement Using Bayesian Optimization NIPS 2021
Optimal Policies Tend To Seek Power NIPS 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations NIPS 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NIPS 2021
Morié Attack (MA): A New Potential Risk of Screen Photos NIPS 2021
Automated Discovery of Adaptive Attacks on Adversarial Defenses NIPS 2021
Neural Architecture Dilation for Adversarial Robustness NIPS 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention CORL 2021
Model-free Safe Control for Zero-Violation Reinforcement Learning CORL 2021
Assisted Robust Reward Design CORL 2021
Robot Reinforcement Learning on the Constraint Manifold CORL 2021
Auditing Robot Learning for Safety and Compliance during Deployment CORL 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification AAAI 2021
Initiative Defense against Facial Manipulation AAAI 2021
Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs AAAI 2021
Fair and Truthful Mechanisms for Dichotomous Valuations AAAI 2021
Achieving Proportionality up to the Maximin Item with Indivisible Goods AAAI 2021
Indecision Modeling AAAI 2021
SMT-based Safety Checking of Parameterized Multi-Agent Systems AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp AAAI 2021