Sign in
Kanghua Mo
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 8
Top Topics
Reinforcement Learning
Generation Algorithm
Partially Observable Domains
Ring Signature
Top Venues
Inf. Sci.
Connect. Sci.
Int. J. Intell. Syst.
ML4CS (2)
</>
Publications
</>
Huaicheng Zhou
,
Kanghua Mo
,
Teng Huang
,
Yongjin Li
Empirical study of privacy inference attack against deep reinforcement learning models.
Connect. Sci.
35 (1) (2023)
Kanghua Mo
,
Weixuan Tang
,
Jin Li
,
Xu Yuan
Attacking Deep Reinforcement Learning With Decoupled Adversarial Policy.
IEEE Trans. Dependable Secur. Comput.
20 (1) (2023)
Heqiu Cai
,
Zhanao Zhang
,
Zhicong Yao
,
Kanghua Mo
,
Dixuan Chen
,
Hongyang Yan
Decision Poisson: From Universal Gravitation to Offline Reinforcement Learning.
AIS&P (1)
(2023)
Arthur Sandor Voundi Koe
,
Shan Ai
,
Pengfei Huang
,
Anli Yan
,
Juan Tang
,
Qi Chen
,
Kanghua Mo
,
Wanqing Jie
,
Shiwen Zhang
Sender anonymity: Applying ring signature in gateway-based blockchain for IoT is not enough.
Inf. Sci.
606 (2022)
Jiabao Liu
,
Qixiang Zhang
,
Kanghua Mo
,
Xiaoyu Xiang
,
Jin Li
,
Debin Cheng
,
Rui Gao
,
Beishui Liu
,
Kongyang Chen
,
Guanjie Wei
An efficient adversarial example generation algorithm based on an accelerated gradient iterative fast gradient.
Comput. Stand. Interfaces
82 (2022)
Shan Ai
,
Guoyu Yang
,
Chang Chen
,
Kanghua Mo
,
Wangyong Lv
,
Arthur Sandor Voundi Koe
ESM: Selfish mining under ecological footprint.
Inf. Sci.
606 (2022)
Kanghua Mo
,
Xiaozhang Liu
,
Teng Huang
,
Anli Yan
Querying little is enough: Model inversion attack via latent information.
Int. J. Intell. Syst.
36 (2) (2021)
Kanghua Mo
,
Teng Huang
,
Xiaoyu Xiang
Querying Little Is Enough: Model Inversion Attack via Latent Information.
ML4CS (2)
(2020)