Song, Dawn

101 publications

NeurIPS 2025 A Sustainable AI Economy Needs Data Deals That Work for Generators Ruoxi Jia, Luis Oala, Wenjie Xiong, Suqin Ge, Jiachen T. Wang, Feiyang Kang, Dawn Song

ICLR 2025 AIR-BENCH 2024: A Safety Benchmark Based on Regulation and Policies Specified Risk Categories Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li

ICLR 2025 An Undetectable Watermark for Generative Image Models Sam Gunn, Xuandong Zhao, Dawn Song

NeurIPS 2025 BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems Andy K Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, Ron Yifeng Wang, Junrong Wu, Kyleen Liao, Jiliang Li, Jinghan Hu, Sara Hong, Nardos Demilew, Shivatmica Murgai, Jason Khiem Tran, Nishka Kacheria, Ethan Jun-shen Ho, Denis Liu, Lauren McLane, Olivia Beyer Bruvik, Dai-Rong Han, Seungwoo Kim, Akhil Vyas, Cuiyuanxiu Chen, Ryan Li, Weiran Xu, Jonathan Z Ye, Prerit Choudhary, Siddharth M. Bhatia, Vikram Sivashankar, Yuxuan Bao, Dawn Song, Dan Boneh, Daniel E. Ho, Percy Liang

ICLR 2025 Capturing the Temporal Dependence of Training Data Influence Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia

AAAI 2025 CodeHalu: Investigating Code Hallucinations in LLMs via Execution-Based Verification Yuchen Tian, Weixiang Yan, Qian Yang, Xuandong Zhao, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma, Dawn Song

ICLR 2025 Data Shapley in One Training Run Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia

ICML 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li

ICML 2025 Improving LLM Safety Alignment with Dual-Objective Optimization Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin, Song Mei, Dawn Song

ICLRW 2025 KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lecue, Shuang Yang, Dawn Song, Bo Li

ICLR 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

ICLR 2025 Multimodal Situational Safety Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang

NeurIPS 2025 OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Yiyou Sun, Shawn Hu, Georgia Zhou, Ken Jiankun Zheng, Hannaneh Hajishirzi, Nouha Dziri, Dawn Song

NeurIPS 2025 OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models Ziheng Cheng, Yixiao Huang, Hui Xu, Somayeh Sojoudi, Xuandong Zhao, Dawn Song, Song Mei

ICML 2025 Position: Formal Mathematical Reasoning—A New Frontier in AI Kaiyu Yang, Gabriel Poesia, Jingxuan He, Wenda Li, Kristin E. Lauter, Swarat Chaudhuri, Dawn Song

ICML 2025 Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean Mcgregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Dr. Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren Mcilvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan

ICML 2025 Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It Jillian Fisher, Ruth Elisabeth Appel, Chan Young Park, Yujin Potter, Liwei Jiang, Taylor Sorensen, Shangbin Feng, Yulia Tsvetkov, Margaret Roberts, Jennifer Pan, Dawn Song, Yejin Choi

NeurIPS 2025 SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI Yuzhou Nie, Zhun Wang, Yu Yang, Ruizhe Jiang, Yuheng Tang, Xander Davies, Yarin Gal, Bo Li, Wenbo Guo, Dawn Song

NeurIPS 2025 Scalable Best-of-N Selection for Large Language Models via Self-Certainty Zhewei Kang, Xuandong Zhao, Dawn Song

ICLR 2025 Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika

ICLRW 2025 Type-Constrained Code Generation with Language Models Niels Mündler, Jingxuan He, Hao Wang, Koushik Sen, Dawn Song, Martin Vechev

NeurIPS 2025 VMDT: Decoding the Trustworthiness of Video Foundation Models Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Y. Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song

NeurIPS 2025 Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations Yiyou Sun, Yu Gai, Lijie Chen, Abhilasha Ravichander, Yejin Choi, Nouha Dziri, Dawn Song

ICML 2024 Agent Instructs Large Language Models to Be General Zero-Shot Reasoners Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang

ICLRW 2024 Agent Instructs Large Language Models to Be General Zero-Shot Reasoners Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang

NeurIPS 2024 AgentPoison: Red-Teaming LLM Agents via Poisoning Memory or Knowledge Bases Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li

NeurIPSW 2024 An Undetectable Watermark for Generative Image Models Sam Gunn, Xuandong Zhao, Dawn Song

NeurIPS 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia

ICML 2024 C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li

ICMLW 2024 Can Editing LLMs Inject Harm? Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

NeurIPSW 2024 Can Editing LLMs Inject Harm? Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

NeurIPS 2024 Data Free Backdoor Attacks Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song

ICML 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

ICLRW 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

ICLR 2024 Effective and Efficient Federated Tree Learning on Hybrid Data Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song

ICLRW 2024 Evaluating Large Language Models in an Emerging Domain: A Pilot Study in Decentralized Finance Joshua Carter Pearlson, Xiaoyuan Liu, Chengsong Huang, Kripa Ann George, Dawn Song, Chenguang Wang

ICML 2024 GRATH: Gradual Self-Truthifying for Large Language Models Weixin Chen, Dawn Song, Bo Li

NeurIPS 2024 GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration Jiachen T. Wang, Tong Wu, Dawn Song, Prateek Mittal, Ruoxi Jia

NeurIPSW 2024 IDS-Agent: An LLM Agent for Explainable Intrusion Detection in IoT Networks Yanjie Li, Zhen Xiang, Nathaniel D. Bastian, Dawn Song, Bo Li

ICML 2024 Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation Shiyang Lai, Yujin Potter, Junsol Kim, Richard Zhuang, Dawn Song, James Evans

ICML 2024 Position: On the Societal Impact of Open Foundation Models Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan

NeurIPS 2024 RedCode: Risky Code Execution and Generation Benchmark for Code Agents Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li

ICML 2024 RigorLLM: Resilient Guardrails for Large Language Models Against Undesired Content Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li

ICML 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song

ICLR 2024 The False Promise of Imitating Proprietary Language Models Arnav Gudibande, Eric Wallace, Charlie Victor Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song

ICML 2023 Adversarial Collaborative Learning on Non-IID Features Qinbin Li, Bingsheng He, Dawn Song

NeurIPS 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song

AISTATS 2023 Byzantine-Robust Federated Learning with Optimal Statistical Rates Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan

NeurIPS 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

ICLR 2023 DensePure: Understanding Diffusion Models for Adversarial Robustness Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

NeurIPS 2023 DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang, Dawn Song, Bo Li

ICML 2023 Secure Federated Correlation Test and Entropy Estimation Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song

CVPR 2023 TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets Weixin Chen, Dawn Song, Bo Li

NeurIPSW 2022 DensePure: Understanding Diffusion Models Towards Adversarial Robustness Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

ICLR 2022 Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space Lun Wang, Iosif Pinelis, Dawn Song

NeurIPS 2022 Forecasting Future World Events with Neural Networks Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks

NeurIPS 2022 How Would the Viewer Feel? Estimating Wellbeing from Video Scenarios Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks

UAI 2022 Perturbation Type Categorization for Multiple Adversarial Perturbation Robustness Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song

CVPR 2022 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt

ICML 2022 Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks, Steven Basart, Mantas Mazeika, Andy Zou, Joseph Kwon, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, 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

NeurIPS 2021 Adversarial Examples for K-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams Chawin Sitawarin, Evgenios Kornaropoulos, Dawn Song, David Wagner

ICLR 2021 Aligning AI with Shared Human Values Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt

IJCAI 2021 BACKDOORL: Backdoor Attack Against Competitive Reinforcement Learning Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

NeurIPS 2021 Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages Xinyun Chen, Dawn Song, Yuandong Tian

ICLR 2021 Measuring Massive Multitask Language Understanding Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt

CVPR 2021 Model-Contrastive Federated Learning Qinbin Li, Bingsheng He, Dawn Song

CVPR 2021 Natural Adversarial Examples Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song

NeurIPSW 2021 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Dawn Song, Jacob Steinhardt

IJCAI 2021 Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li, Bingsheng He, Dawn Song

CVPR 2021 Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification? Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song

ICML 2021 TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica

ICCV 2021 The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization 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

NeurIPS 2020 Compositional Generalization via Neural-Symbolic Stack Machines Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

ICLR 2020 Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le

ICLR 2020 Robust Anomaly Detection and Backdoor Attack Detection via Differential Privacy Min Du, Ruoxi Jia, Dawn Song

NeurIPS 2020 Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song

NeurIPS 2020 Towards Practical Differentially Private Causal Graph Discovery Lun Wang, Qi Pang, Dawn Song

ICLR 2019 Characterizing Audio Adversarial Examples Using Temporal Dependency Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song

ICLR 2019 Execution-Guided Neural Program Synthesis Xinyun Chen, Chang Liu, Dawn Song

ICLR 2019 GamePad: A Learning Environment for Theorem Proving Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever

ICLR 2019 Synthetic Datasets for Neural Program Synthesis Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song

AISTATS 2019 Towards Efficient Data Valuation Based on the Shapley Value Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos

NeurIPS 2019 Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song

ECCV 2018 Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song

ICLR 2018 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey

IJCAI 2018 Curriculum Adversarial Training Qi-Zhi Cai, Chang Liu, Dawn Song

ICLR 2018 Decision Boundary Analysis of Adversarial Examples Warren He, Bo Li, Dawn Song

IJCAI 2018 Generating Adversarial Examples with Adversarial Networks Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song

NeurIPS 2018 Improving Neural Program Synthesis with Inferred Execution Traces Eui Chul Shin, Illia Polosukhin, Dawn Song

ICLR 2018 Parametrized Hierarchical Procedures for Neural Programming Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica

ECCV 2018 Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song

ICLR 2018 Spatially Transformed Adversarial Examples Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song

ICLR 2018 Towards Synthesizing Complex Programs from Input-Output Examples Xinyun Chen, Chang Liu, Dawn Song

NeurIPS 2018 Tree-to-Tree Neural Networks for Program Translation Xinyun Chen, Chang Liu, Dawn Song

ICLR 2017 Delving into Adversarial Attacks on Deep Policies Jernej Kos, Dawn Song

ICLR 2017 Delving into Transferable Adversarial Examples and Black-Box Attacks Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song

ICLR 2017 Making Neural Programming Architectures Generalize via Recursion Jonathon Cai, Richard Shin, Dawn Song

NeurIPS 2016 Latent Attention for If-Then Program Synthesis Chang Liu, Xinyun Chen, Eui Chul Shin, Mingcheng Chen, Dawn Song

NeurIPS 2009 Tracking Dynamic Sources of Malicious Activity at Internet Scale Shobha Venkataraman, Avrim Blum, Dawn Song, Subhabrata Sen, Oliver Spatscheck