activity
20182022
most citedSemantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker

26 citations · 26 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CR202226 cited

Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker

Jian Gao, Yu Jiang, Zhe Liu +5

Clone detection is widely exploited for software vulnerability search. The approaches based on source code analysis cannot be applied to binary clone detection because the same sou…

cs.CL2019

RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems

Jianmin Guo, Yue Zhao, Quan Zhang +1

While massive efforts have been investigated in adversarial testing of convolutional neural networks (CNN), testing for recurrent neural networks (RNN) is still limited and leaves…

cs.SE2019

EVMFuzz: Differential Fuzz Testing of Ethereum Virtual Machine

Ying Fu, Meng Ren, Fuchen Ma +3

Ethereum Virtual Machine (EVM) is the run-time environment for smart contracts and its vulnerabilities may lead to serious problems to the Ethereum ecology. With lots of techniques…

cs.CV2018

Multi-Task Learning of Generalizable Representations for Video Action Recognition

Zhiyu Yao, Yunbo Wang, Mingsheng Long +3

In classic video action recognition, labels may not contain enough information about the diverse video appearance and dynamics, thus, existing models that are trained under the sta…

cs.SE2018

QuanFuzz: Fuzz Testing of Quantum Program

Jiyuan Wang, Ming Gao, Yu Jiang +4

Nowadays, quantum program is widely used and quickly developed. However, the absence of testing methodology restricts their quality. Different input format and operator from tradit…

cs.SE2018

DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

Jianmin Guo, Yu Jiang, Yue Zhao +2

Deep learning (DL) systems are increasingly applied to safety-critical domains such as autonomous driving cars. It is of significant importance to ensure the reliability and robust…