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Picture for Dawn Song

Dawn Song

University of California, Berkeley

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures


Dec 11, 2021
Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt

* Code and models are available at https://github.com/andyzoujm/pixmix 

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Grounded Graph Decoding Improves Compositional Generalization in Question Answering


Nov 05, 2021
Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica

* To be published in Findings of EMNLP 2021. Code available at https://github.com/gaiyu0/cfq 

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What Would Jiminy Cricket Do? Towards Agents That Behave Morally


Oct 25, 2021
Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt

* NeurIPS 2021. Environments available here https://github.com/hendrycks/jiminy-cricket 

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Zero-Shot Information Extraction as a Unified Text-to-Triple Translation


Sep 23, 2021
Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song

* EMNLP 2021; 14 pages, 5 figures, 9 tables 

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RobustART: Benchmarking Robustness on Architecture Design and Training Techniques


Sep 15, 2021
Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan Yuille, Philip H. S. Torr, Dacheng Tao


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Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages


Jun 29, 2021
Xinyun Chen, Dawn Song, Yuandong Tian


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Measuring Coding Challenge Competence With APPS


May 27, 2021
Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt

* Code and the APPS dataset is available at https://github.com/hendrycks/apps 

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BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning


May 07, 2021
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song


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Model-Contrastive Federated Learning


Mar 30, 2021
Qinbin Li, Bingsheng He, Dawn Song

* Accepted by CVPR 2021 

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Measuring Mathematical Problem Solving With the MATH Dataset


Mar 05, 2021
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt

* Code and the MATH dataset is available at https://github.com/hendrycks/math/ 

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DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing


Mar 02, 2021
Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia

* 20 pages, 7 figures 

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TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models


Feb 16, 2021
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica


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A System for Automated Open-Source Threat Intelligence Gathering and Management


Jan 19, 2021
Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song


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A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence


Jan 17, 2021
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song

* Accepted paper at ICDE 2021 demonstrations track. arXiv admin note: substantial text overlap with arXiv:2010.13637 

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Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses


Dec 30, 2020
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein


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Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses


Dec 18, 2020
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein


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Extracting Training Data from Large Language Models


Dec 14, 2020
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, Alina Oprea, Colin Raffel


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Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization


Dec 03, 2020
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao

* 28 pages 

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Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams


Nov 19, 2020
Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David Wagner


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Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence


Oct 26, 2020
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song


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Language Models are Open Knowledge Graphs


Oct 22, 2020
Chenguang Wang, Xiao Liu, Dawn Song

* 30 pages, 32 figures, 3 tables 

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F2ED-Learning: Good Fences Make Good Neighbors


Oct 02, 2020
Lun Wang, Qi Pang, Shuai Wang, Dawn Song


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Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer


Oct 02, 2020
Qinbin Li, Bingsheng He, Dawn Song


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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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