| Delving into transferable adversarial examples and black-box attacks Y Liu, X Chen, C Liu, D Song arXiv preprint arXiv:1611.02770, 2016 | 1554 | 2016 |
| Targeted backdoor attacks on deep learning systems using data poisoning X Chen, C Liu, B Li, K Lu, D Song arXiv preprint arXiv:1712.05526, 2017 | 1140 | 2017 |
| Adversarial Example Defense: Ensembles of Weak Defenses are not Strong. W He, J Wei, X Chen, N Carlini, D Song WOOT, 15-15, 2017 | 379 | 2017 |
| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ... arXiv preprint arXiv:2210.11416, 2022 | 262 | 2022 |
| Learning to perform local rewriting for combinatorial optimization X Chen, Y Tian Advances in Neural Information Processing Systems 32, 2019 | 229 | 2019 |
| Competition-level code generation with alphacode Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ... Science 378 (6624), 1092-1097, 2022 | 219 | 2022 |
| Tree-to-tree neural networks for program translation X Chen, C Liu, D Song Advances in neural information processing systems 31, 2018 | 218 | 2018 |
| Execution-guided neural program synthesis X Chen, C Liu, D Song International Conference on Learning Representations, 2019 | 114 | 2019 |
| Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses M Goldblum, D Tsipras, C Xie, X Chen, A Schwarzschild, D Song, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1563-1580, 2022 | 86 | 2022 |
| Neural symbolic reader: Scalable integration of distributed and symbolic representations for reading comprehension X Chen, C Liang, AW Yu, D Zhou, D Song, QV Le International Conference on Learning Representations, 2020 | 86 | 2020 |
| Latent attention for if-then program synthesis C Liu, X Chen, EC Shin, M Chen, D Song Advances in Neural Information Processing Systems 29, 2016 | 86 | 2016 |
| Refit: a unified watermark removal framework for deep learning systems with limited data X Chen, W Wang, C Bender, Y Ding, R Jia, B Li, D Song Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021 | 82 | 2021 |
| Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, and Tom Goldstein. Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses M Goldblum, D Tsipras, C Xie, X Chen arXiv preprint arXiv:2012.10544 1, 2020 | 68 | 2020 |
| Compositional generalization via neural-symbolic stack machines X Chen, C Liang, AW Yu, D Song, D Zhou Advances in Neural Information Processing Systems 33, 1690-1701, 2020 | 65 | 2020 |
| Towards synthesizing complex programs from input-output examples X Chen, C Liu, D Song arXiv preprint arXiv:1706.01284, 2017 | 58* | 2017 |
| Fooling vision and language models despite localization and attention mechanism X Xu, X Chen, C Liu, A Rohrbach, T Darrell, D Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 57 | 2018 |
| Robustart: Benchmarking robustness on architecture design and training techniques S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ... arXiv preprint arXiv:2109.05211, 2021 | 53 | 2021 |
| KDBI: kinetic data of bio-molecular interactions database ZL Ji, X Chen, CJ Zhen, LX Yao, LY Han, WK Yeo, PC Chung, HS Puy, ... Nucleic acids research 31 (1), 255-257, 2003 | 51 | 2003 |
| Coda: An end-to-end neural program decompiler C Fu, H Chen, H Liu, X Chen, Y Tian, F Koushanfar, J Zhao Advances in Neural Information Processing Systems 32, 2019 | 50 | 2019 |
| Lego: Latent execution-guided reasoning for multi-hop question answering on knowledge graphs H Ren, H Dai, B Dai, X Chen, M Yasunaga, H Sun, D Schuurmans, ... International conference on machine learning, 8959-8970, 2021 | 46 | 2021 |
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
