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Measuring Massive Multitask Language Understanding

Sep 21, 2020
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt

* The test and code is available at https://github.com/hendrycks/test 

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A Principled Approach to Data Valuation for Federated Learning

Sep 14, 2020
Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song


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Compositional Generalization via Neural-Symbolic Stack Machines

Aug 15, 2020
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou


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Aligning AI With Shared Human Values

Aug 05, 2020
Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt


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Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis

Jul 16, 2020
Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song


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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Jun 29, 2020
Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer

* Datasets, code, and models available at https://github.com/hendrycks/imagenet-r 

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Towards practical differentially private causal graph discovery

Jun 15, 2020
Lun Wang, Qi Pang, Dawn Song


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Imitation Attacks and Defenses for Black-box Machine Translation Systems

Apr 30, 2020
Eric Wallace, Mitchell Stern, Dawn Song


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Pretrained Transformers Improve Out-of-Distribution Robustness

Apr 16, 2020
Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song

* ACL 2020 

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Anomalous Instance Detection in Deep Learning: A Survey

Mar 16, 2020
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song


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Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)

Feb 26, 2020
Dell Zhang, Andre Freitas, Dacheng Tao, Dawn Song


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Hierarchical Variational Imitation Learning of Control Programs

Dec 29, 2019
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica


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Synthetic Datasets for Neural Program Synthesis

Dec 27, 2019
Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song

* ICLR 2019 

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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aur√©lien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adri√† Gasc√≥n, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Koneńćn√Ĺ, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancr√®de Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer √Ėzg√ľr, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tram√®r, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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A Benchmark for Anomaly Segmentation

Nov 25, 2019
Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song

* StreetHazards dataset and code are available at https://github.com/hendrycks/anomaly-seg 

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REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data

Nov 17, 2019
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song

* Early version in ICML 2019 Workshop on Security and Privacy of Machine Learning. The first two authors contribute equally 

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The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Nov 17, 2019
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song


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An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms

Nov 17, 2019
Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song


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Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy

Nov 16, 2019
Min Du, Ruoxi Jia, Dawn Song


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Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Sep 11, 2019
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gurel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song

* PVLDB, 12(11): 1610-1623, 2019 

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TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Aug 08, 2019
Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song


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Characterizing Attacks on Deep Reinforcement Learning

Jul 24, 2019
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song


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Natural Adversarial Examples

Jul 18, 2019
Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song

* Dataset and code available at https://github.com/hendrycks/natural-adv-examples 

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Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Jun 28, 2019
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song

* Code and dataset available at https://github.com/hendrycks/ss-ood 

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