597 citations · 2.3k across the 106 of their papers we have counts for
16 papers · 1 filter
ATDD: Fine-Grained Assured Time-Sensitive Data Deletion Scheme in Cloud Storage
Zhengyu Yue, Yuanzhi Yao, Weihai Li +1
With the rapid development of general cloud services, more and more individuals or collectives use cloud platforms to store data. Assured data deletion deserves investigation in cl…
Tracing Text Provenance via Context-Aware Lexical Substitution
Xi Yang, Jie Zhang, Kejiang Chen +4
Text content created by humans or language models is often stolen or misused by adversaries. Tracing text provenance can help claim the ownership of text content or identify the ma…
Improving Dither Modulation based Robust Steganography by Overflow Suppression
Kai Zeng, Kejiang Chen, Yaofei Wang +2
Nowadays, people are sharing their pictures on online social networks (OSNs), so OSN is a good platform for Steganography. But OSNs usually perform JPEG compression on the uploaded…
Exploring Structure Consistency for Deep Model Watermarking
Jie Zhang, Dongdong Chen, Jing Liao +5
The intellectual property (IP) of Deep neural networks (DNNs) can be easily ``stolen'' by surrogate model attack. There has been significant progress in solutions to protect the IP…
Poison Ink: Robust and Invisible Backdoor Attack
Jie Zhang, Dongdong Chen, Qidong Huang +5
Recent research shows deep neural networks are vulnerable to different types of attacks, such as adversarial attack, data poisoning attack and backdoor attack. Among them, backdoor…
A Fast-Detection and Fault-Correction Algorithm against Persistent Fault Attack
Yukun Cheng, Mengce Zheng, Fan Huang +3
Persistent Fault Attack (PFA) is a recently proposed Fault Attack (FA) method in CHES 2018. It is able to recover full AES secret key in the Single-Byte-Fault scenario. It is demon…
Three-Dimensional Mesh Steganography and Steganalysis: A Review
Hang Zhou, Weiming Zhang, Kejiang Chen +2
Three-dimensional (3-D) meshes are commonly used to represent virtual surfaces and volumes. Over the past decade, 3-D meshes have emerged in industrial, medical, and entertainment…
Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup
Zhimin Luo, Mengce Zheng, Ping Wang +3
In recent years, various deep learning techniques have been exploited in side channel attacks, with the anticipation of obtaining more appreciable attack results. Most of them conc…
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
Xiquan Guan, Huamin Feng, Weiming Zhang +3
Deep convolutional neural networks have made outstanding contributions in many fields such as computer vision in the past few years and many researchers published well-trained netw…
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks
Ruizhe Gu, Ping Wang, Mengce Zheng +2
Numerous previous works have studied deep learning algorithms applied in the context of side-channel attacks, which demonstrated the ability to perform successful key recoveries. T…
An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization
Minhui Jin, Mengce Zheng, Honggang Hu +1
In recent years, the convolutional neural networks (CNNs) have received a lot of interest in the side-channel community. The previous work has shown that CNNs have the potential of…
Enhancing the Performance of Practical Profiling Side-Channel Attacks Using Conditional Generative Adversarial Networks
Ping Wang, Ping Chen, Zhimin Luo +4
Recently, many profiling side-channel attacks based on Machine Learning and Deep Learning have been proposed. Most of them focus on reducing the number of traces required for succe…
A Restrained Paillier Cryptosystem and Its Applications for Access Control of Common Secret
Xiaojuan Dong, Weiming Zhang, Mohsin Shah +2
The modified Paillier cryptosystem has become extremely popular and applied in many fields, owning to its additive homomorphism. This cryptosystem provides weak private keys and a…
Data Exfiltration via Multipurpose RFID Cards and Countermeasures
Zheng Zhou, Weiming Zhang, Nenghai Yu
Radio-frequency identification(RFID) technology is widely applied in daily human life. The RFID cards are seen everywhere, from entrance guard to consumption. The information secur…
IREXF: Data Exfiltration from Air-gapped Networks by Infrared Remote Control Signals
Zheng Zhou, Weiming Zhang, Nenghai Yu
he technology on infrared remote control is widely applied in human daily life. It is also applied in the place with a top security level. Infrared remote control signal is regarde…
Exfiltration of Data from Air-gapped Networks via Unmodulated LED Status Indicators
Zheng Zhou, Weiming Zhang, Zichong Yang +1
The light-emitting diode(LED) is widely used as an indicator on the information device. Early in 2002, Loughry et al studied the exfiltration of LED indicators and found the kind o…