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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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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, Aurélien 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, Adrià Gascón, 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 Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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