Wenbo Guo
Wenbo Guo
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
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
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
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
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
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
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
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
Edge: Explaining deep reinforcement learning policies
W Guo, X Wu, U Khan, X Xing
Advances in Neural Information Processing Systems 34, 12222-12236, 2021
Adversarial Policy Training against Deep Reinforcement Learning
X Wu, W Guo, H Wei, X Xing
30th {USENIX} Security Symposium ({USENIX} Security 21), 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
Adversarial policy learning in two-player competitive games
W Guo, X Wu, S Huang, X Xing
International conference on machine learning, 3910-3919, 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
{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
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
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
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
HyVulDect: a hybrid semantic vulnerability mining system based on graph neural network
W Guo, Y Fang, C Huang, H Ou, C Lin, Y Guo
Computers & Security 121, 102823, 2022
DANCE: Enhancing saliency maps using decoys
Y Lu, W Guo, X Xing, WS Noble
Proceedings of The 38th International Conference on Machine Learning (ICML), 2021
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
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Artikkelit 1–20