b'Lixin Fan'

research

∙ 06/13/2023

Temporal Gradient Inversion Attacks with Robust Optimization

Federated Learning (FL) has emerged as a promising approach for collabor...

7 Bowen Li, et al. ∙

research

∙ 05/10/2023

FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature

Federated learning allows multiple parties to collaborate in learning a ...

0 Wenyuan Yang, et al. ∙

research

∙ 05/08/2023

FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof

Federated learning (FL) allows multiple parties to cooperatively learn a...

0 Wenyuan Yang, et al. ∙

research

∙ 04/11/2023

A Game-theoretic Framework for Federated Learning

In federated learning, benign participants aim to optimize a global mode...

0 Xiaojin Zhang, et al. ∙

research

∙ 04/10/2023

Probably Approximately Correct Federated Learning

Federated learning (FL) is a new distributed learning paradigm, with pri...

0 Xiaojin Zhang, et al. ∙

research

∙ 11/24/2022

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders

This paper proposes a general spectral analysis framework that thwarts a...

0 Hanlin Gu, et al. ∙

research

∙ 11/14/2022

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model

Copyright protection of the Federated Learning (FL) model has become a m...

0 Shuo Shao, et al. ∙

research

∙ 07/09/2022

Federated Learning with Quantum Secure Aggregation

This article illustrates a novel Quantum Secure Aggregation (QSA) scheme...

0 Yichi Zhang, et al. ∙

research

∙ 05/27/2022

FadMan: Federated Anomaly Detection across Multiple Attributed Networks

Anomaly subgraph detection has been widely used in various applications,...

0 Nannan Wu, et al. ∙

research

∙ 04/26/2022

You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas

Social chatbots, also known as chit-chat chatbots, evolve rapidly with l...

0 Haoran Li, et al. ∙

research

∙ 03/11/2022

No free lunch theorem for security and utility in federated learning

In a federated learning scenario where multiple parties jointly learn a ...

0 Xiaojin Zhang, et al. ∙

research

∙ 09/27/2021

FedIPR: Ownership Verification for Federated Deep Neural Network Models

Federated learning models must be protected against plagiarism since the...

6 Lixin Fan, et al. ∙

research

∙ 07/12/2021

ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment

With hundreds of thousands of electronic chip components are being manuf...

0 Chun Chet Ng, et al. ∙

research

∙ 03/16/2021

Ternary Hashing

This paper proposes a novel ternary hash encoding for learning to hash m...

0 Chang Liu, et al. ∙

research

∙ 02/08/2021

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack

Ever since Machine Learning as a Service (MLaaS) emerges as a viable bus...

15 Ding Sheng Ong, et al. ∙

research

∙ 11/27/2020

Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness

Deep neural networks (DNNs) are known to be prone to adversarial attacks...

0 Yilun Jin, et al. ∙

research

∙ 08/25/2020

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection

By and large, existing Intellectual Property Right (IPR) protection on d...

2 Jian Han Lim, et al. ∙

research

∙ 06/20/2020

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks

This paper investigates capabilities of Privacy-Preserving Deep Learning...

19 Lixin Fan, et al. ∙

research

∙ 10/25/2019

L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition

Modern Automatic Speech Recognition (ASR) systems primarily rely on scor...

0 Yuanfeng Song, et al. ∙

research

∙ 09/16/2019

Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

With the rapid development of deep neural networks (DNN), there emerges ...

4 Lixin Fan, et al. ∙

research

∙ 06/11/2019

Simultaneously Learning Architectures and Features of Deep Neural Networks

This paper presents a novel method which simultaneously learns the numbe...

0 Tinghuai Wang, et al. ∙

research

∙ 05/10/2019

Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks

In order to prevent deep neural networks from being infringed by unautho...

0 Lixin Fan, et al. ∙

research

∙ 03/11/2019

Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement

Many types of 3D acquisition sensors have emerged in recent years and po...

4 Xiaoshui Huang, et al. ∙

research

∙ 01/25/2019

Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning

This is the Proceedings of AAAI 2019 Workshop on Network Interpretabilit...

0 Quanshi Zhang, et al. ∙

research

∙ 01/20/2019

A Universal Logic Operator for Interpretable Deep Convolution Networks

Explaining neural network computation in terms of probabilistic/fuzzy lo...

0 KamWoh Ng, et al. ∙

research

∙ 05/21/2018

Object Detection in Equirectangular Panorama

We introduced a high-resolution equirectangular panorama (360-degree, vi...

0 Wenyan Yang, et al. ∙

research

∙ 02/26/2018

Depth Masked Discriminative Correlation Filter

Depth information provides a strong cue for occlusion detection and hand...

0 Uğur Kart, et al. ∙

research

∙ 01/24/2018

A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure

For a graph representation of a dataset, a straightforward normality mea...

0 Caglar Aytekin, et al. ∙

research

∙ 12/27/2017

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels

Computer vision algorithms with pixel-wise labeling tasks, such as seman...

0 Caglar Aytekin, et al. ∙

research

∙ 11/15/2017

Deep Epitome for Unravelling Generalized Hamming Network: A Fuzzy Logic Interpretation of Deep Learning

This paper gives a rigorous analysis of trained Generalized Hamming Netw...

0 Lixin Fan, et al. ∙

research

∙ 10/27/2017

Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network

We revisit fuzzy neural network with a cornerstone notion of generalized...

0 Lixin Fan, et al. ∙

research

∙ 09/22/2017

Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data

In psychology, theory-driven researches are usually conducted with exten...

0 Xuefeng Liang, et al. ∙

research

∙ 10/24/2016

A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds

With the development of numerous 3D sensing technologies, object registr...

0 Xiaoshui Huang, et al. ∙

research

∙ 08/18/2016

A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures

We propose a systematic approach for registering cross-source point clou...

0 Xiaoshui Huang, et al. ∙

Lixin Fan

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