activity
20182020
most citedTowards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition

14 citations · 26 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV202014 cited

Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition

Tianhang Zheng, Sheng Liu, Changyou Chen +3

Skeleton-based action recognition has attracted increasing attention due to its strong adaptability to dynamic circumstances and potential for broad applications such as autonomous…

cs.CR2020

A Framework for Behavior Privacy Preserving in Radio Frequency Signal

Jianwei Liu, Jinsong Han, Lei Yang +3

Recent years have witnessed the bloom development of the human-centered wireless sensing applications, in which some human information, such as the user's identity and motions, can…

cs.CV20205 cited

Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition

Jianwei Liu, Jinsong Han, Feng Lin +1

Wireless signal-based gesture recognition has promoted the developments of VR game, smart home, etc. However, traditional approaches suffer from the influence of the domain gap. Lo…

cs.LG20196 cited

Data Poisoning Attack against Knowledge Graph Embedding

Hengtong Zhang, Tianhang Zheng, Jing Gao +4

Knowledge graph embedding (KGE) is a technique for learning continuous embeddings for entities and relations in the knowledge graph.Due to its benefit to a variety of downstream ta…

cs.CR2019

Towards a First Step to Understand the Cryptocurrency Stealing Attack on Ethereum

Zhen Cheng, Xinrui Hou, Runhuai Li +4

We performed the first systematic study of a new attack on Ethereum that steals cryptocurrencies. The attack is due to the unprotected JSON-RPC endpoints existed in Ethereum nodes…

cs.CR20191 cited

FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification

Tianhang Zheng, Zhi Sun, Kui Ren

Trusted identification is critical to secure IoT devices. However, the limited memory and computation power of low-end IoT devices prevent the direct usage of conventional identifi…