Wenbo Guo
Wenbo Guo
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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
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 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
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
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
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
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
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
Adversarial Policy Training against Deep Reinforcement Learning
X Wu, W Guo, H Wei, X Xing
30th {USENIX} Security Symposium ({USENIX} Security 21), 2021
DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis.
W Guo, D Mu, X Xing, M Du, D Song
USENIX Security Symposium, 1787-1804, 2019
Integrative Genomic Analysis of Gemcitabine Resistance in Pancreatic Cancer by Patient-derived Xenograft ModelsGenomic Analysis of Gemcitabine Resistance in PDAC by PDXs
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
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 learning in two-player competitive games
W Guo, X Wu, S Huang, X Xing
International Conference on Machine Learning, 3910-3919, 2021
RENN: Efficient reverse execution with neural-network-assisted alias analysis
D Mu, W Guo, A Cuevas, Y Chen, J Gai, X Xing, B Mao, C Song
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
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
Data-driven analysis of the electronic-structure factors controlling the work functions of perovskite oxides
Y Xiong, W Chen, W Guo, H Wei, I Dabo
Physical Chemistry Chemical Physics 23 (11), 6880-6887, 2021
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
WindRanger: a directed greybox fuzzer driven by deviation basic blocks
Z Du, Y Li, Y Liu, B Mao
Proceedings of the 44th International Conference on Software Engineering …, 2022
Are Shortest Rationales the Best Explanations for Human Understanding?
H Shen, T Wu, W Guo, THK Huang
arXiv preprint arXiv:2203.08788, 2022
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