| Lemna: Explaining deep learning based security applications W Guo, D Mu, J Xu, P Su, G Wang, X Xing proceedings of the 2018 ACM SIGSAC conference on computer and communications …, 2018 | 391 | 2018 |
| Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks W Guo, L Wang, Y Xu, X Xing, M Du, D Song Proceedings of the 22th IEEE International Conference on Data Mining. (ICDM'20), 2020 | 325* | 2020 |
| Adversary Resistant Deep Neural Networks with an Application to Malware Detection Q Wang, W Guo, K Zhang, AG Ororbia II, X Xing, CL Giles, X Liu Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2016 | 231 | 2016 |
| CADE: Detecting and Explaining Concept Drift Samples for Security Applications L Yang, W Guo, Q Hao, A Ciptadi, A Ahmadzadeh, X Xing, G Wang 30th {USENIX} Security Symposium ({USENIX} Security 21), 2021 | 202 | 2021 |
| Towards the Detection of Inconsistencies in Public Security Vulnerability Reports Y Dong, W Guo, Y Chen, X Xing, Y Zhang, G Wang 28th {USENIX} Security Symposium ({USENIX} Security 19), 869-885, 2019 | 175 | 2019 |
| Backdoorl: Backdoor attack against competitive reinforcement learning L Wang, Z Javed, X Wu, W Guo, X Xing, D Song arXiv preprint arXiv:2105.00579, 2021 | 98 | 2021 |
| Defending against Adversarial Samples without Security through Obscurity W Guo, Q Wang, K Zhang, AG Ororbia II, X Liu, CL Giles, S Huang, L Lin, ... Proceedings of the 20th IEEE International Conference on Data Mining. (ICDM'18), 2018 | 88* | 2018 |
| Edge: Explaining deep reinforcement learning policies W Guo, X Wu, U Khan, X Xing Advances in Neural Information Processing Systems 34, 12222-12236, 2021 | 70 | 2021 |
| Unique identification of 50,000+ virtual reality users from head & hand motion data V Nair, W Guo, J Mattern, R Wang, JF O'Brien, L Rosenberg, D Song 32nd USENIX Security Symposium (USENIX Security 23), 895-910, 2023 | 69 | 2023 |
| Explaining deep learning models-a bayesian non-parametric approach W Guo, S Huang, Y Tao, X Xing, L Lin Advances in Neural Information Processing Systems, 2018 | 66* | 2018 |
| Adversarial Policy Training against Deep Reinforcement Learning X Wu, W Guo, H Wei, X Xing 30th {USENIX} Security Symposium ({USENIX} Security 21), 2021 | 63 | 2021 |
| Integrative genomic analysis of gemcitabine resistance in pancreatic cancer by patient-derived xenograft models G Yang, W Guan, Z Cao, W Guo, G Xiong, F Zhao, M Feng, J Qiu, Y Liu, ... Clinical Cancer Research 27 (12), 3383-3396, 2021 | 60 | 2021 |
| Adversarial policy learning in two-player competitive games W Guo, X Wu, S Huang, X Xing International conference on machine learning, 3910-3919, 2021 | 49 | 2021 |
| {DEEPVSA}: Facilitating value-set analysis with deep learning for postmortem program analysis W Guo, D Mu, X Xing, M Du, D Song 28th USENIX Security Symposium (USENIX Security 19), 1787-1804, 2019 | 49 | 2019 |
| HackerRank: Identifying key hackers in underground forums C Huang, Y Guo, W Guo, Y Li International Journal of Distributed Sensor Networks 17 (5), 15501477211015145, 2021 | 35 | 2021 |
| FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data J Liang, W Guo, T Luo, V Honavar, G Wang, X Xing Proceedings of The 28th Network and Distributed System Security Symposium (NDSS), 2021 | 32 | 2021 |
| Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace J Qian, J Liao, Z Liu, Y Chi, Y Fang, Y Zheng, X Shao, B Liu, Y Cui, W Guo, ... Nature Communications 14 (1), 2484, 2023 | 30 | 2023 |
| Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics H Li, T Ma, M Hao, W Guo, J Gu, X Zhang, L Wei Briefings in Bioinformatics 24 (6), bbad359, 2023 | 28 | 2023 |
| Massively Parallel CRISPR‐Based Genetic Perturbation Screening at Single‐Cell Resolution J Cheng, G Lin, T Wang, Y Wang, W Guo, J Liao, P Yang, J Chen, X Shao, ... Advanced Science 10 (4), 2204484, 2023 | 25 | 2023 |
| RNNrepair: Automatic RNN repair via model-based analysis X Xie, W Guo, L Ma, W Le, J Wang, L Zhou, Y Liu, X Xing International Conference on Machine Learning, 11383-11392, 2021 | 22 | 2021 |
xinyu xingNorthwestern UniversityVerifierad e-postadress på northwestern.edu