no code implementations • 3 Aug 2022 • Shuchang Tao, Qi Cao, HuaWei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng
Despite the initial success of node injection attacks, we find that the injected nodes by existing methods are easy to be distinguished from the original normal nodes by defense methods and limiting their attack performance in practice.
1 code implementation • 30 Aug 2021 • Shuchang Tao, Qi Cao, HuaWei Shen, JunJie Huang, Yunfan Wu, Xueqi Cheng
In this paper, we focus on an extremely limited scenario of single node injection evasion attack, i. e., the attacker is only allowed to inject one single node during the test phase to hurt GNN's performance.
1 code implementation • 2 Aug 2021 • Shi Qiu, Yunfan Wu, Saeed Anwar, Chongyi Li
Object detection in three-dimensional (3D) space attracts much interest from academia and industry since it is an essential task in AI-driven applications such as robotics, autonomous driving, and augmented reality.
1 code implementation • 12 Jul 2021 • Yunfan Wu, Qi Cao, HuaWei Shen, Shuchang Tao, Xueqi Cheng
INMO generates the inductive embeddings for users (items) by characterizing their interactions with some template items (template users), instead of employing an embedding lookup table.