Qiongxiu Li

IEEE Trans. Inf. Forensics Secur., 2025

2024

On the Privacy Effect of Data Enhancement via the Lens of Memorization.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus.

[BibT_eX]

[DOI]

Jaron Skovsted Gundersen

IEEE Trans. Inf. Forensics Secur., 2024

DeMem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization.

[BibT_eX]

[DOI]

Xiaoyu Luo

CoRR, 2024

ProP: Efficient Backdoor Detection via Propagation Perturbation for Overparametrized Models.

[BibT_eX]

[DOI]

Tao Ren

CoRR, 2024

Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2024

Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem.

[BibT_eX]

[DOI]

CoRR, 2024

Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss.

[BibT_eX]

[DOI]

CoRR, 2024

An Intelligent Innovation Dataset on Scientific Research Outcomes.

[BibT_eX]

[DOI]

CoRR, 2024

ADBM: Adversarial diffusion bridge model for reliable adversarial purification.

[BibT_eX]

[DOI]

CoRR, 2024

Topology-Dependent Privacy Bound for Decentralized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

On the Privacy of Federated Clustering: a Cryptographic View.

[BibT_eX]

[DOI]

Lixia Luo

Proceedings of the IEEE International Conference on Acoustics, 2024

Privacy-Preserving Distributed Optimisation using Stochastic PDMM.

[BibT_eX]

[DOI]

Sebastian O. Jordan

Proceedings of the IEEE International Conference on Acoustics, 2024

On the Privacy Bound of Distributed Optimization and its Application in Federated Learning.

[BibT_eX]

[DOI]

Wenrui Yu

Proceedings of the 32nd European Signal Processing Conference, 2024

2022

Communication efficient privacy-preserving distributed optimization using adaptive differential quantization.

[BibT_eX]

[DOI]

Signal Process., 2022

Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation.

[BibT_eX]

[DOI]

Jaron Skovsted Gundersen

Katrine Tjell

Rafal Wisniewski

Proceedings of the IEEE International Conference on Acoustics, 2022

Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms.

[BibT_eX]

[DOI]

Jaron Skovsted Gundersen

IEEE Trans. Inf. Forensics Secur., 2021

2020

Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Convex optimization-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Privacy-Preserving Distributed Graph Filtering.

[BibT_eX]

[DOI]

Mario Coutino

Geert Leus

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing.

[BibT_eX]

[DOI]

Ignacio Cascudo

Proceedings of the 27th European Signal Processing Conference, 2019

A Privacy-Preserving Asynchronous Averaging Algorithm based on Shamir's Secret Sharing.

[BibT_eX]

[DOI]