58 citations · 82 across the 17 of their papers we have counts for
17 papers
GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning
Zhaoqi Wang, Zijian Zhang, Xiaomei Yuan +4
Large language models increasingly use search tools to retrieve up-to-date information, introducing a new attack surface in which retrieved documents can be manipulated. This risk…
ActiveFlowMark: Assessing Tor Anonymity under Active Bandwidth Watermarking
Zilve Fan, Zijian Zhang, Yangnan Guo +5
Low-latency anonymity networks such as Tor remain vulnerable to infrastructure-level traffic analysis that exploits side-channel information observable from encrypted communication…
Rényi Pufferfish Privacy with Gaussian-based Priors: From Single Gaussian to Mixture Model
Wenjin Yang, Ni Ding, Zijian Zhang +5
Rényi Pufferfish Privacy (RPP) provides a Rényi divergence-based privacy framework for correlated data, but existing -Wasserstein mechanisms are often conservative and sacr…
Noise Reduction for Pufferfish Privacy: A Practical Noise Calibration Method
Wenjin Yang, Ni Ding, Zijian Zhang +8
This paper introduces a relaxed noise calibration method to enhance data utility while attaining pufferfish privacy. This work builds on the existing -Wasserstein (Kantorovich)…
Security-Aware Joint Sensing, Communication, and Computing Optimization in Low Altitude Wireless Networks
Jiacheng Wang, Changyuan Zhao, Jialing He +5
As terrestrial resources become increasingly saturated, the research attention is shifting to the low-altitude airspace, with many emerging applications such as urban air taxis and…
Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning
Zhaoqi Wang, Daqing He, Zijian Zhang +4
Large language models (LLMs) have demonstrated remarkable capabilities, yet they also introduce novel security challenges. For instance, prompt jailbreaking attacks involve adversa…
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Zhen Li, Zijian Zhang, Wenjin Yang +5
Verifiable Secret Sharing (VSS) has been widespread in Distributed Privacy-preserving Machine Learning (DPML), because invalid shares from malicious dealers or participants can be…
Efficient Blockchain-based Steganography via Backcalculating Generative Adversarial Network
Zhuo Chen, Jialing He, Jiacheng Wang +4
Blockchain-based steganography enables data hiding via encoding the covert data into a specific blockchain transaction field. However, previous works focus on the specific field-em…
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
Zhibo Xing, Zijian Zhang, Zi'ang Zhang +3
Federated learning allows several clients to train one machine learning model jointly without sharing private data, providing privacy protection. However, traditional federated lea…
A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts
Zhiyuan Wei, Xianhao Zhang, Jing Sun +2
Blockchain smart contracts have emerged as a transformative force in the digital realm, spawning a diverse range of compelling applications. Since solidity smart contracts across v…
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Zhibo Xing, Zijian Zhang, Meng Li +4
Since the concern of privacy leakage extremely discourages user participation in sharing data, federated learning has gradually become a promising technique for both academia and i…
Decentralized Threshold Signatures with Dynamically Private Accountability
Meng Li, Mingwei Zhang, Qing Wang +5
Threshold signatures are a fundamental cryptographic primitive used in many practical applications. As proposed by Boneh and Komlo (CRYPTO'22), TAPS is a threshold signature that i…
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
Jialing He, Jiamou Liu, Zijian Zhang +4
Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind s…
SDN Controllers: Benchmarking & Performance Evaluation
Liehuang Zhu, Md Monjurul Karim, Kashif Sharif +3
Software Defined Networks offer flexible and intelligent network operations by splitting a traditional network into a centralized control plane and a programmable data plane. The i…
EPDA: Enhancing Privacy-Preserving Data Authentication for Mobile Crowd Sensing
Jingwei Liu, Fanghui Cai, Longfei Wu +3
As a popular application, mobile crowd sensing systems aim at providing more convenient service via the swarm intelligence. With the popularity of sensor-embedded smart phones and…
ESAS: An Efficient Semantic and Authorized Search Scheme over Encrypted Outsourced Data
Xueyan Liu, Zhitao Guan, Xiaojiang Du +3
Nowadays, a large amount of user privacy-sensitive data is outsourced to the cloud server in ciphertext, which is provided by the data owners and can be accessed by authorized data…
Toward Practical Differential Privacy in Smart Grid with Capacity-Limited Rechargeable Batteries
Zijian Zhang, Zhan Qin, Liehuang Zhu +3
The technology of differential privacy, adding a noise drawn from the Laplace distribution, successfully overcomes a difficulty of keeping both the privacy of individual data and t…