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06/13/2023
Temporal Gradient Inversion Attacks with Robust Optimization
Federated Learning (FL) has emerged as a promising approach for collabor...
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05/10/2023
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature
Federated learning allows multiple parties to collaborate in learning a ...
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05/08/2023
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof
Federated learning (FL) allows multiple parties to cooperatively learn a...
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04/11/2023
A Game-theoretic Framework for Federated Learning
In federated learning, benign participants aim to optimize a global mode...
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04/10/2023
Probably Approximately Correct Federated Learning
Federated learning (FL) is a new distributed learning paradigm, with pri...
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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...
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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...
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07/09/2022
Federated Learning with Quantum Secure Aggregation
This article illustrates a novel Quantum Secure Aggregation (QSA) scheme...
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05/27/2022
FadMan: Federated Anomaly Detection across Multiple Attributed Networks
Anomaly subgraph detection has been widely used in various applications,...
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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...
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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 ...
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09/27/2021
FedIPR: Ownership Verification for Federated Deep Neural Network Models
Federated learning models must be protected against plagiarism since the...
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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...
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03/16/2021
Ternary Hashing
This paper proposes a novel ternary hash encoding for learning to hash m...
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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...
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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...
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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...
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06/20/2020
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
This paper investigates capabilities of Privacy-Preserving Deep Learning...
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10/25/2019
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition
Modern Automatic Speech Recognition (ASR) systems primarily rely on scor...
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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 ...
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06/11/2019
Simultaneously Learning Architectures and Features of Deep Neural Networks
This paper presents a novel method which simultaneously learns the numbe...
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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...
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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...
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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...
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01/20/2019
A Universal Logic Operator for Interpretable Deep Convolution Networks
Explaining neural network computation in terms of probabilistic/fuzzy lo...
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05/21/2018
Object Detection in Equirectangular Panorama
We introduced a high-resolution equirectangular panorama (360-degree, vi...
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02/26/2018
Depth Masked Discriminative Correlation Filter
Depth information provides a strong cue for occlusion detection and hand...
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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...
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12/27/2017
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels
Computer vision algorithms with pixel-wise labeling tasks, such as seman...
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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...
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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...
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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...
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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...
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08/18/2016