Ximeng Liu

When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System

2021 · arXiv (Cornell University)

Mobile crowdsensing (MCS) is an emerging sensing data collection pattern with scalability, low deployment cost, and distributed characteristics. Traditional MCS systems suffer from privacy concerns and fair reward distribution. Moreover, existing privacy-preserving MCS solutions usually …

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons

2022 · arXiv (Cornell University)

The opacity of neural networks leads their vulnerability to backdoor attacks, where hidden attention of infected neurons is triggered to override normal predictions to the attacker-chosen ones. In this paper, we propose a novel backdoor …

Anonymous Aggregate Fine-Grained Cloud Data Verification System for Smart Health

2022 · IEEE Transactions on Cloud Computing

With the rapid development of cloud computing and Internet of Things (IoT), smart health (s-health) is anticipated to enhance healthcare quality significantly. However, data integrity, user anonymity, and authentication concerns have not been adequately addressed …

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability

2023 · arXiv (Cornell University)

While the transferability property of adversarial examples allows the adversary to perform black-box attacks (i.e., the attacker has no knowledge about the target model), the transfer-based adversarial attacks have gained great attention. Previous works mostly …

New Cryptographic Bent Functions from Permutations and Linear Translator in Cyber Security

2023

Cryptographic bent functions are maximally nonlinear Boolean functions with an even number of variables. They are not only closely related to some interesting combinatorial objects, but also have important applications in coding, sequence design, cryptography …

Deep Reinforcement Learning Based Scheduling Strategy in Blockchain Payment Channel Networks

2024 · IEEE Transactions on Networking

With the popularity of blockchains, low transaction throughput has become a significant bottleneck in applications such as cryptocurrencies. Payment channel networks (PCNs) have received attention as a way to improve throughput. However, due to the …

Efficient Homomorphic-Encryption-Based Secure Search in Multiowner Setting for Internet of Things

2024 · IEEE Internet of Things Journal

Ensuring the security of data outsourced to cloud is a prerequisite for the application of Internet of Things (IoT) in actual production. Secure search based on homomorphic encryption can provide high security and require no …