activity
20172022
most citedTextBugger: Generating Adversarial Text Against Real-world Applications

333 citations · 568 across the 30 of their papers we have counts for

collaborators

34 papers

cs.CR2021

Towards Robust Reasoning over Knowledge Graphs

Zhaohan Xi, Ren Pang, Changjiang Li +4

Answering complex logical queries over large-scale knowledge graphs (KGs) represents an important artificial intelligence task, entailing a range of applications. Recently, knowled…

cs.CL202176 cited

Backdoor Pre-trained Models Can Transfer to All

Lujia Shen, Shouling Ji, Xuhong Zhang +6

Pre-trained general-purpose language models have been a dominating component in enabling real-world natural language processing (NLP) applications. However, a pre-trained model wit…

cs.CR20211 cited

AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy

Linkang Du, Zhikun Zhang, Shaojie Bai +4

For protecting users' private data, local differential privacy (LDP) has been leveraged to provide the privacy-preserving range query, thus supporting further statistical analysis.…

cs.LG2021

On the Security Risks of AutoML

Ren Pang, Zhaohan Xi, Shouling Ji +2

Neural Architecture Search (NAS) represents an emerging machine learning (ML) paradigm that automatically searches for models tailored to given tasks, which greatly simplifies the…

cs.LG2021

GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network

Zuohui Chen, Renxuan Wang, Jingyang Xiang +5

Deep Neural Networks (DNN) are known to be vulnerable to adversarial samples, the detection of which is crucial for the wide application of these DNN models. Recently, a number of…

cs.LG20218 cited

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

Zhenguang Liu, Peng Qian, Xiang Wang +3

Smart contracts hold digital coins worth billions of dollars, their security issues have drawn extensive attention in the past years. Towards smart contract vulnerability detection…