Huang, Po-Sen

11 publications

TMLR 2025 Privacy Awareness for Information-Sharing Assistants: A Case-Study on Form-Filling with Contextual Integrity Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle
NeurIPS 2022 Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks
ICLR 2021 Self-Supervised Adversarial Robustness for the Low-Label, High-Data Regime Sven Gowal, Po-Sen Huang, Aaron van den Oord, Timothy Mann, Pushmeet Kohli
ICLR 2020 Towards Verified Robustness Under Text Deletion Interventions Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy Dvijotham, Martin Szummer, Pushmeet Kohli
NeurIPS 2019 Are Labels Required for Improving Adversarial Robustness? Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli
NeurIPS 2019 Learning Transferable Graph Exploration Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
ICMLW 2018 Execution-Guided Neural Program Decoding Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh
NeurIPS 2018 M-Walk: Learning to Walk over Graphs Using Monte Carlo Tree Search Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
ICLR 2018 Towards Neural Phrase-Based Machine Translation Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
ICML 2017 Sequence Modeling via Segmentations Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
CVPRW 2014 Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki, Mark Hasegawa-Johnson