56 citations · 103 across the 12 of their papers we have counts for
12 papers
Manipulating Transfer Learning for Property Inference
Yulong Tian, Fnu Suya, Anshuman Suri +2
Transfer learning is a popular method for tuning pretrained (upstream) models for different downstream tasks using limited data and computational resources. We study how an adversa…
Automation Slicing and Testing for in-App Deep Learning Models
Hao Wu, Yuhang Gong, Xiaopeng Ke +5
Intelligent Apps (iApps), equipped with in-App deep learning (DL) models, are emerging to offer stable DL inference services. However, App marketplaces have trouble auto testing iA…
Quasi-linear analysis of dispersion relation preservation for nonlinear schemes
Fengyuan Xu, Pan Yan, Qin Li +1
In numerical simulations of complex flows with discontinuities, it is necessary to use nonlinear schemes. The spectrum of the scheme used have a significant impact on the resolutio…
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection
Shucheng Li, Fengyuan Xu, Runchuan Wang +1
In recent years, phishing scams have become the crime type with the largest money involved on Ethereum, the second-largest blockchain platform. Meanwhile, graph neural network (GNN…
Stealthy Backdoors as Compression Artifacts
Yulong Tian, Fnu Suya, Fengyuan Xu +1
In a backdoor attack on a machine learning model, an adversary produces a model that performs well on normal inputs but outputs targeted misclassifications on inputs containing a s…
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence
Peng Gao, Fei Shao, Xiaoyuan Liu +7
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks. However, existing approaches require non-trivial efforts of manual query…
LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps
Lizhi Sun, Shuocheng Wang, Hao Wu +5
ARM TrustZone is widely deployed on commercial-off-the-shelf mobile devices for secure execution. However, many Apps cannot enjoy this feature because it brings many constraints to…
On developing piecewise rational mapping with fine regulation capability for WENO schemes
Qin Li, Pan Yan, Xiao Huang +2
On the idea of mapped WENO-JS scheme, properties of mapping methods are analyzed, uncertainties in mapping development are investigated, and new rational mappings are proposed. Bas…
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence
Peng Gao, Fei Shao, Xiaoyuan Liu +6
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated attacks. However, existing approaches require non-trivial efforts of manual query const…
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem
Shucheng Li, Lingfei Wu, Shiwei Feng +3
The celebrated Seq2Seq technique and its numerous variants achieve excellent performance on many tasks such as neural machine translation, semantic parsing, and math word problem s…
A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security
Peng Gao, Xusheng Xiao, Zhichun Li +4
The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each enterprise host, and perform timely at…
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data
Peng Gao, Xusheng Xiao, Zhichun Li +4
The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each host, and perform timely attack invest…