241 citations · 475 across the 13 of their papers we have counts for
13 papers
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
Xiangqi Wang, Mingfu Xue, Kewei Chen +4
The backdoor attack poses a new security threat to deep neural networks. Existing backdoor often relies on visible universal trigger to make the backdoored model malfunction, which…
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…
Quantization Backdoors to Deep Learning Commercial Frameworks
Hua Ma, Huming Qiu, Yansong Gao +7
Currently, there is a burgeoning demand for deploying deep learning (DL) models on ubiquitous edge Internet of Things (IoT) devices attributed to their low latency and high privacy…
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…
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 \…
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…
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…
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…
ATMPA: Attacking Machine Learning-based Malware Visualization Detection Methods via Adversarial Examples
Xinbo Liu, Jiliang Zhang, Yaping Lin +1
Since the threat of malicious software (malware) has become increasingly serious, automatic malware detection techniques have received increasing attention, where machine learning…
Physical Unclonable Function-based Key Sharing for IoT Security
Jiliang Zhang, Gang Qu
In many Industry Internet of Things (IIoT) applications, resources like CPU, memory, and battery power are limited and cannot afford the classic cryptographic security solutions. S…
Machine Learning Attack and Defense on Voltage Over-scaling-based Lightweight Authentication
Jiliang Zhang, Haihan Su
It is a challenging task to deploy lightweight security protocols in resource-constrained IoT applications. A hardware-oriented lightweight authentication protocol based on device…
Set-based Obfuscation for Strong PUFs against Machine Learning Attacks
Jiliang Zhang, Chaoqun Shen
Strong physical unclonable function (PUF) is a promising solution for device authentication in resourceconstrained applications but vulnerable to machine learning attacks. In order…
HCIC: Hardware-assisted Control-flow Integrity Checking
Jiliang Zhang, Binhang Qi, Gang Qu
Recently, code reuse attacks (CRAs), such as return-oriented programming (ROP) and jump-oriented programming (JOP), have emerged as a new class of ingenious security threatens. Att…