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20152023
most citedMadDroid: Characterising and Detecting Devious Ad Content for Android Apps

41 citations · 235 across the 22 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.SE2020★ 34 cited

Dynamic Slicing for Deep Neural Networks

Ziqi Zhang, Yuanchun Li, Yao Guo +2

Program slicing has been widely applied in a variety of software engineering tasks. However, existing program slicing techniques only deal with traditional programs that are constr…

cs.CR2020★ 5 cited

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts

Ru Ji, Ningyu He, Lei Wu +3

Cryptocurrency has seen an explosive growth in recent years, thanks to the evolvement of blockchain technology and its economic ecosystem. Besides Bitcoin, thousands of cryptocurre…

cs.CR2020★ 26 cited

Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware

Liu Wang, Ren He, Haoyu Wang +8

As the COVID-19 pandemic emerged in early 2020, a number of malicious actors have started capitalizing the topic. Although a few media reports mentioned the existence of coronaviru…

cs.CV2020★ 14 cited

Adversarial Attacks on Monocular Depth Estimation

Ziqi Zhang, Xinge Zhu, Yingwei Li +2

Recent advances of deep learning have brought exceptional performance on many computer vision tasks such as semantic segmentation and depth estimation. However, the vulnerability o…

cs.CR2020★ 15 cited

Security Analysis of EOSIO Smart Contracts

Ningyu He, Ruiyi Zhang, Lei Wu +5

The EOSIO blockchain, one of the representative Delegated Proof-of-Stake (DPoS) blockchain platforms, has grown rapidly recently. Meanwhile, a number of vulnerabilities and high-pr…

cs.CR2020★ 41 cited

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps

Tianming Liu, Haoyu Wang, Li Li +6

Advertisement drives the economy of the mobile app ecosystem. As a key component in the mobile ad business model, mobile ad content has been overlooked by the research community, w…