Search Results - "Lyu, Xixiang"

FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT by Li, Jianhua, Lyu, Lingjuan, Liu, Ximeng, Zhang, Xuyun, Lyu, Xixiang

“…Due to resource constraints and working surroundings, many IIoT nodes are easily hacked and turn into zombies from which to launch attacks. It is challenging…”
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Privacy‐preserving federated learning based on multi‐key homomorphic encryption by Ma, Jing, Naas, Si‐Ahmed, Sigg, Stephan, Lyu, Xixiang

“…With the advance of machine learning and the Internet of Things (IoT), security and privacy have become critical concerns in mobile services and networks…”
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BCMIX: A Blockchain-Based Dynamic Self-Reconfigurable Mixnet by Zou, Renpeng, Lyu, Xixiang, Ma, Jing, Zhang, Bowen, Wu, Danfang

“…The increasing awareness of privacy preservation has led to a strong focus on mix networks (mixnets) protecting anonymity. As an efficient mixnet, cMix greatly…”
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A Novel Variable K-Pseudonym Scheme Applied to 5G Anonymous Access Authentication by Ma, Dong, Lyu, Xixiang, Zou, Renpeng

“…Anonymous access authentication schemes provide users with massive application services while protecting the privacy of users' identities. The identity…”
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Reconstructive Neuron Pruning for Backdoor Defense by Li, Yige, Lyu, Xixiang, Ma, Xingjun, Koren, Nodens, Lyu, Lingjuan, Li, Bo, Jiang, Yu-Gang

“…Deep neural networks (DNNs) have been found to be vulnerable to backdoor attacks, raising security concerns about their deployment in mission-critical…”
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Differentially private sequence generative adversarial networks for data privacy masking by Yu ZHANG, Xixiang LYU, Yucong ZOU, Yige LI

“…Based on generative adversary networks and the differential privacy mechanism,a differentially private sequence generative adversarial net (DP-SeqGAN) was…”
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Differentially private sequence generative adversarial networks for data privacy masking by ZHANG Yu, LYU Xixiang, ZOU Yucong, LI Yige

“…Based on generative adversary networks and the differential privacy mechanism, a differentially private sequence generative adversarial net (DP-SeqGAN) was…”
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Anti-Backdoor Learning: Training Clean Models on Poisoned Data by Li, Yige, Lyu, Xixiang, Koren, Nodens, Lyu, Lingjuan, Li, Bo, Ma, Xingjun

“…Backdoor attack has emerged as a major security threat to deep neural networks (DNNs). While existing defense methods have demonstrated promising results on…”
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Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption by Ma, Jing, Naas, Si-Ahmed, Sigg, Stephan, Lyu, Xixiang

“…With the advance of machine learning and the internet of things (IoT), security and privacy have become key concerns in mobile services and networks…”
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Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks by Li, Yige, Lyu, Xixiang, Koren, Nodens, Lyu, Lingjuan, Li, Bo, Ma, Xingjun

“…Deep neural networks (DNNs) are known vulnerable to backdoor attacks, a training time attack that injects a trigger pattern into a small proportion of training…”
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