activity
20182022
most citedBackdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

133 citations · 161 across the 5 of their papers we have counts for

collaborators

10 papers

cs.AR2022

MES-Attacks: Software-Controlled Covert Channels based on Mutual Exclusion and Synchronization

Chaoqun Shen, Jiliang Zhang, Gang Qu

Multi-process concurrency is effective in improving program efficiency and maximizing CPU utilization. The correct execution of concurrency is ensured by the mutual exclusion and s…

cs.CR2020133 cited

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Yansong Gao, Bao Gia Doan, Zhi Zhang +5

This work provides the community with a timely comprehensive review of backdoor attacks and countermeasures on deep learning. According to the attacker's capability and affected st…

cs.CR20202 cited

SIAT: A Systematic Inter-Component Communication Analysis Technology for Detecting Threats on Android

Yupeng Hu, Zhe Jin, Wenjia Li +2

In this paper, we present the design and implementation of a Systematic Inter-Component Communication Analysis Technology (SIAT) consisting of two key modules: \emph{Monitor} and \…

cs.CR201912 cited

DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning

Jiliang Zhang, Wuqiao Chen, Yuqi Niu

Code reuse attack (CRA) is a powerful attack that reuses existing codes to hijack the program control flow. Control flow integrity (CFI) is one of the most popular mechanisms to pr…

cs.CR201914 cited

Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models

Yehao Kong, Jiliang Zhang

Audio is an important medium in people's daily life, hidden information can be embedded into audio for covert communication. Current audio information hiding techniques can be roug…

cs.LG2018

Adversarial Examples: Opportunities and Challenges

Jiliang Zhang, Chen Li

Deep neural networks (DNNs) have shown huge superiority over humans in image recognition, speech processing, autonomous vehicles and medical diagnosis. However, recent studies indi…