Dawn Song

Measuring Massive Multitask Language Understanding

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

Comments ICLR 2021; the test and code is available at https://github.com/hendrycks/test

PrivFramework: A System for Configurable and Automated Privacy Policy Compliance

Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song

Journal ref NeurIPS 2020 Workshop on Dataset Security and Curation

D2P-Fed: Differentially Private Federated Learning With Efficient Communication

Lun Wang, Ruoxi Jia, Dawn Song

Imitation Attacks and Defenses for Black-box Machine Translation Systems

Eric Wallace, Mitchell Stern, Dawn Song

Comments EMNLP 2020

Language Models are Open Knowledge Graphs

Chenguang Wang, Xiao Liu, Dawn Song

Comments 30 pages, 32 figures, 3 tables

Compositional Generalization via Neural-Symbolic Stack Machines

Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

Comments Published in NeurIPS 2020

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

Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song

Comments Published in NeurIPS 2020

A Principled Approach to Data Valuation for Federated Learning

Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song

BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos

Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos, Dawn Song

Towards practical differentially private causal graph discovery

Lun Wang, Qi Pang, Dawn Song

Epione: Lightweight Contact Tracing with Strong Privacy

Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song

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

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

Pretrained Transformers Improve Out-of-Distribution Robustness

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

Comments ACL 2020

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

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

Journal ref PVLDB, 12(11): 1610-1623, 2019

Hierarchical Variational Imitation Learning of Control Programs

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

Synthetic Datasets for Neural Program Synthesis

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

Comments ICLR 2019

MLSys: The New Frontier of Machine Learning Systems

Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar

Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy

Min Du, Ruoxi Jia, Dawn Song

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song

Comments NeurIPS 2019; code and data available at https://github.com/hendrycks/ss-ood

Keystone: An Open Framework for Architecting TEEs

Dayeol Lee, David Kohlbrenner, Shweta Shinde, Dawn Song, Krste Asanović

Comments 18 pages

Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy

Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song

Comments Extended version of OOPSLA 2019 paper

Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations

Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song

Impossibility of Full Decentralization in Permissionless Blockchains

Yujin Kwon, Jian Liu, Minjeong Kim, Dawn Song, Yongdae Kim

Comments This paper is accepted to ACM AFT 2019

Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution

Raymond Cheng, Fan Zhang, Jernej Kos, Warren He, Nicholas Hynes, Noah Johnson, Ari Juels, Andrew Miller, Dawn Song

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

Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song

Characterizing Audio Adversarial Examples Using Temporal Dependency

Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

Comments The first three authors contributed equally. Accepted by AAMAS 2019

Assessing Generalization in Deep Reinforcement Learning

Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song

Comments 17 pages, 6 figures

Generating Adversarial Examples with Adversarial Networks

Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song

Comments Accepted to IJCAI2018