受强制性开放获取政策约束的文章 - xinyu xing了解详情
无法在其他位置公开访问的文章：4 篇
Log2vec: A heterogeneous graph embedding based approach for detecting cyber threats within enterprise
F Liu, Y Wen, D Zhang, X Jiang, X Xing, D Meng
Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019
强制性开放获取政策： 中国科学院
Building a trustworthy execution environment to defeat exploits from both cyber space and physical space for ARM
L Guan, C Cao, P Liu, X Xing, X Ge, S Zhang, M Yu, T Jaeger
IEEE Transactions on Dependable and Secure Computing 16 (3), 438-453, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
What you see is not what you get! thwarting just-in-time rop with chameleon
P Chen, J Xu, Z Hu, X Xing, M Zhu, B Mao, P Liu
2017 47th Annual IEEE/IFIP International Conference on Dependable Systems …, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense, 国家自然科学基金委员会
Towards Unveiling Exploitation Potential With Multiple Error Behaviors for Kernel Bugs
Z Liu, Z Lin, Y Chen, Y Wu, Y Zou, D Mu, X Xing
IEEE Transactions on Dependable and Secure Computing 21 (1), 93-109, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：51 篇
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
强制性开放获取政策： US National Science Foundation
Tabor: A highly accurate approach to inspecting and restoring trojan backdoors in ai systems
W Guo, L Wang, X Xing, M Du, D Song
arXiv preprint arXiv:1908.01763, 2019
强制性开放获取政策： US Department of Defense
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
arXiv preprint arXiv:1610.01239, 2016
强制性开放获取政策： US National Science Foundation
{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), 2327-2344, 2021
强制性开放获取政策： US National Science Foundation
Trustshadow: Secure execution of unmodified applications with arm trustzone
L Guan, P Liu, X Xing, X Ge, S Zhang, M Yu, T Jaeger
Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
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
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
{FUZE}: Towards facilitating exploit generation for kernel {Use-After-Free} vulnerabilities
W Wu, Y Chen, J Xu, X Xing, X Gong, W Zou
27th USENIX Security Symposium (USENIX Security 18), 781-797, 2018
强制性开放获取政策： US National Science Foundation, 中国科学院, 国家自然科学基金委员会
Understanding the reproducibility of crowd-reported security vulnerabilities
D Mu, A Cuevas, L Yang, H Hu, X Xing, B Mao, G Wang
27th USENIX Security Symposium (USENIX Security 18), 919-936, 2018
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Flashguard: Leveraging intrinsic flash properties to defend against encryption ransomware
J Huang, J Xu, X Xing, P Liu, MK Qureshi
Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Defending against adversarial samples without security through obscurity
W Guo, Q Wang, K Zhang, AG Ororbia, S Huang, X Liu, CL Giles, L Lin, ...
2018 IEEE International Conference on Data Mining (ICDM), 137-146, 2018
强制性开放获取政策： US National Science Foundation
{KEPLER}: Facilitating control-flow hijacking primitive evaluation for Linux kernel vulnerabilities
W Wu, Y Chen, X Xing, W Zou
28th USENIX Security Symposium (USENIX Security 19), 1187-1204, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Slake: Facilitating slab manipulation for exploiting vulnerabilities in the linux kernel
Y Chen, X Xing
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019
强制性开放获取政策： US National Science Foundation
Edge: Explaining deep reinforcement learning policies
W Guo, X Wu, U Khan, X Xing
Advances in Neural Information Processing Systems 34, 12222-12236, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
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 31, 2018
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： 国家自然科学基金委员会, National Research Foundation, Singapore
Adversarial policy training against deep reinforcement learning
X Wu, W Guo, H Wei, X Xing
30th USENIX Security Symposium (USENIX Security 21), 1883-1900, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
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