output
20072026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

Showing 2021 · cs.CRShow all

10 papers · 2 filters

cs.CR2021

A Comprehensive and Cross-Platform Test Suite for Memory Safety -- Towards an Open Framework for Testing Processor Hardware Supported Security Extensions

Wei Song, Jiameng Ying, Sihao Shen +3

Memory safety remains a critical and widely violated property in reality. Numerous defense techniques have been proposed and developed but most of them are not applied or enabled b…

cs.CR2021★ 6 cited

UPPRESSO: Untraceable and Unlinkable Privacy-PREserving Single Sign-On Services

Chengqian Guo, Jingqiang Lin, Quanwei Cai +6

Single sign-on (SSO) allows a user to maintain only the credential for an identity provider (IdP) to log into multiple relying parties (RPs). However, SSO introduces privacy threat…

cs.CR2021★ 24 cited

EvilModel 2.0: Bringing Neural Network Models into Malware Attacks

Zhi Wang, Chaoge Liu, Xiang Cui +2

Security issues have gradually emerged with the continuous development of artificial intelligence (AI). Earlier work verified the possibility of converting neural network models in…

cs.CR2021★ 73 cited

Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection

Shouguo Yang, Long Cheng, Yicheng Zeng +3

Binary code similarity detection is a fundamental technique for many security applications such as vulnerability search, patch analysis, and malware detection. There is an increasi…

cs.CR2021★ 37 cited

EvilModel: Hiding Malware Inside of Neural Network Models

Zhi Wang, Chaoge Liu, Xiang Cui

Delivering malware covertly and evasively is critical to advanced malware campaigns. In this paper, we present a new method to covertly and evasively deliver malware through a neur…

cs.CR2021

Firmware Re-hosting Through Static Binary-level Porting

Mingfeng Xin, Hui Wen, Liting Deng +3

The rapid growth of the Industrial Internet of Things (IIoT) has brought embedded systems into focus as major targets for both security analysts and malicious adversaries. Due to t…

cs.CR2021★ 2 cited

Security and Privacy for Healthcare Blockchains

Rui Zhang, Rui Xue, Ling Liu

Healthcare blockchains provide an innovative way to store healthcare information, execute healthcare transactions, and build trust for healthcare data sharing and data integration…

cs.CR2021★ 54 cited

Social Engineering in Cybersecurity: A Domain Ontology and Knowledge Graph Application Examples

Zuoguang Wang, Hongsong Zhu, Peipei Liu +1

Social engineering has posed a serious threat to cyberspace security. To protect against social engineering attacks, a fundamental work is to know what constitutes social engineeri…

cs.CR2021★ 8 cited

SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization

Dongsong Yu, Guangliang Yang, Guozhu Meng +9

To investigate the status quo of SEAndroid policy customization, we propose SEPAL, a universal tool to automatically retrieve and examine the customized policy rules. SEPAL applies…

cs.CR2021★ 22 cited

Website fingerprinting on early QUIC traffic

Pengwei Zhan, Liming Wang, Yi Tang

Cryptographic protocols have been widely used to protect the user's privacy and avoid exposing private information. QUIC (Quick UDP Internet Connections), including the version ori…