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Concrete Problems in AI Safety

21 June 2016

Papers citing "Concrete Problems in AI Safety"

25 / 1,375 papers shown

Title
Reinforcement Learning with a Corrupted Reward Channel Tom Everitt Victoria Krakovna Laurent Orseau Marcus Hutter Shane Legg 294 116 0 23 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 561 638 0 22 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 430 2,924 0 19 May 2017
Repeated Inverse Reinforcement Learning Kareem Amin Nan Jiang Satinder Singh 299 78 0 15 May 2017
Probabilistically Safe Policy Transfer David Held Zoe McCarthy Michael Zhang Fred Shentu Pieter Abbeel 145 20 0 15 May 2017
Maximum Resilience of Artificial Neural Networks Chih-Hong Cheng Georg Nührenberg Harald Ruess AAML 377 296 0 28 Apr 2017
Google's Cloud Vision API Is Not Robust To Noise Hossein Hosseini Baicen Xiao Radha Poovendran AAML 162 128 0 16 Apr 2017
Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization Mark O. Riedl Brent Harrison 91 7 0 30 Mar 2017
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos Hossein Hosseini Baicen Xiao Radha Poovendran AAML 104 18 0 26 Mar 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 147 110 0 13 Mar 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences Yingzhen Li Y. Gal UQCV BDL 213 204 0 08 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 657 4,450 0 28 Feb 2017
Strongly-Typed Agents are Guaranteed to Interact SafelyInternational Conference on Machine Learning (ICML), 2017 David Balduzzi 180 2 0 24 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 835 1,727 0 25 Jan 2017
Stoic Ethics for Artificial Agents Gabriel Murray 104 8 0 09 Jan 2017
Reinforcement Learning With Temporal Logic Rewards Xiao Li C. Vasile C. Belta 221 243 0 11 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 1.4K 6,694 0 05 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 182 70 0 01 Dec 2016
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems Besmira Nushi Ece Kamar Eric Horvitz Donald Kossmann 165 82 0 24 Nov 2016
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 204 489 0 11 Nov 2016
Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures Roman V. Yampolskiy M. S. Spellchecker 119 93 0 25 Oct 2016
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 629 978 0 21 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksInternational Conference on Learning Representations (ICLR), 2016 Dan Hendrycks Kevin Gimpel UQCV 1.4K 3,888 0 07 Oct 2016
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 651 95 0 01 Oct 2016
Towards Verified Artificial Intelligence Sanjit A. Seshia Dorsa Sadigh S. Shankar Sastry 214 204 0 27 Jun 2016