| Towards Fast Computation of Certified Robustness for ReLU Networks TW Weng, H Zhang, H Chen, Z Song, CJ Hsieh, D Boning, IS Dhillon, ... International Conference on Machine Learning (ICML), 2018, 2018 | 585 | 2018 |
| Is Robustness the Cost of Accuracy?--A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D Su, H Zhang, H Chen, J Yi, PY Chen, Y Gao European Conference on Computer Vision (ECCV), 2018, 631-648, 2018 | 325 | 2018 |
| Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective K Xu*, H Chen*, S Liu, PY Chen, TW Weng, M Hong, X Lin International Joint Conferences on Artificial Intelligence (IJCAI), 2019, 2019 | 213 | 2019 |
| Towards stable and efficient training of verifiably robust neural networks H Zhang, H Chen, C Xiao, S Gowal, R Stanforth, B Li, D Boning, CJ Hsieh International Conference on Learning Representations (ICLR), 2020, 2020 | 211 | 2020 |
| Adversarial t-shirt! evading person detectors in a physical world K Xu, G Zhang, S Liu, Q Fan, M Sun, H Chen, PY Chen, Y Wang, X Lin European Conference on Computer Vision (ECCV), 2020 (Spotlight), 2020 | 198 | 2020 |
| Attacking visual language grounding with adversarial examples: A case study on neural image captioning H Chen*, H Zhang*, PY Chen, J Yi, CJ Hsieh Annual Meeting of the Association for Computational Linguistics (ACL), 2018 …, 2018 | 150* | 2018 |
| The limitations of adversarial training and the blind-spot attack H Zhang*, H Chen*, Z Song, D Boning, IS Dhillon, CJ Hsieh International Conference on Learning Representations (ICLR), 2019, 2019 | 117 | 2019 |
| Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations H Zhang*, H Chen*, C Xiao, B Li, M Liu, D Boning, CJ Hsieh Neural Information Processing Systems (NeurIPS), 2020 (Spotlight), 2020 | 114 | 2020 |
| Robust Decision Trees Against Adversarial Examples H Chen, H Zhang, D Boning, CJ Hsieh International Conference on Machine Learning (ICML), 2019 (20-min Long Oral …, 2019 | 96 | 2019 |
| Robust reinforcement learning on state observations with learned optimal adversary H Zhang*, H Chen*, D Boning, CJ Hsieh International Conference on Learning Representations (ICLR), 2021, 2021 | 61 | 2021 |
| Robustness Verification of Tree-based Models H Chen*, H Zhang*, S Si, Y Li, D Boning, CJ Hsieh Neural Information Processing Systems (NeurIPS), 2019, 2019 | 56 | 2019 |
| Online and Incremental Machine Learning Approaches for IC Yield Improvement H Chen, DS Boning IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2017, 2017 | 11 | 2017 |
| On -norm Robustness of Ensemble Stumps and Trees Y Wang, H Zhang, H Chen, D Boning, CJ Hsieh International Conference on Machine Learning (ICML), 2020, 2020 | 10* | 2020 |
| Multi-Stage Influence Function H Chen, S Si, Y Li, C Chelba, S Kumar, D Boning, CJ Hsieh Neural Information Processing Systems (NeurIPS), 2020, 2020 | 8 | 2020 |
| Towards fast computation of certified robustness for relu networks (2018) TW Weng, H Zhang, H Chen, Z Song, CJ Hsieh, D Boning, IS Dhillon, ... arXiv preprint arXiv:1804.09699, 1804 | 6 | 1804 |
| Machine learning approaches for IC manufacturing yield enhancement H Chen, DS Boning Machine Learning in VLSI Computer-Aided Design, 175-199, 2019 | 4 | 2019 |
| Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving E Bronstein, M Palatucci, D Notz, B White, A Kuefler, Y Lu, S Paul, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
