3 citations · 6 across the 5 of their papers we have counts for
5 papers
DPFNAS: Differential Privacy-Enhanced Federated Neural Architecture Search for 6G Edge Intelligence
Yang Lv, Jin Cao, Ben Niu +4
The Sixth-Generation (6G) network envisions pervasive artificial intelligence (AI) as a core goal, enabled by edge intelligence through on-device data utilization. To realize this…
Automatic State Machine Inference for Binary Protocol Reverse Engineering
Junhai Yang, Fenghua Li, Yixuan Zhang +3
Protocol Reverse Engineering (PRE) is used to analyze protocols by inferring their structure and behavior. However, current PRE methods mainly focus on field identification within…
A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers
Peng Tang, Xin Li, Yuxin Chen +5
Machine learning based classifiers that take a privacy policy as the input and predict relevant concepts are useful in different applications such as (semi-)automated compliance an…
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?
Likun Zhang, Hao Wu, Lingcui Zhang +4
The emergence of text-to-image models has recently sparked significant interest, but the attendant is a looming shadow of potential infringement by violating the user terms. Specif…
Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
Haonan Yan, Xiaoguang Li, Hui Li +3
Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through…