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08/19/2023
Generative Adversarial Networks Unlearning
As machine learning continues to develop, and data misuse scandals becom...
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06/06/2023
Machine Unlearning: A Survey
Machine learning has attracted widespread attention and evolved into an ...
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06/02/2023
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation
GAN-generated image detection now becomes the first line of defense agai...
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02/17/2023
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking
In recent years, there has been significant advancement in the field of ...
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12/31/2022
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Reinforcement learning (RL) is one of the most important branches of AI....
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10/20/2022
How Does a Deep Learning Model Architecture Impact Its Privacy?
As a booming research area in the past decade, deep learning technologie...
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09/28/2022
Momentum Gradient Descent Federated Learning with Local Differential Privacy
Nowadays, the development of information technology is growing rapidly. ...
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03/22/2022
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack
DeepFakes are raising significant social concerns. Although various Deep...
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03/13/2022
One Parameter Defense – Defending against Data Inference Attacks via Differential Privacy
Machine learning models are vulnerable to data inference attacks, such a...
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03/13/2022
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It
Transfer learning is an important approach that produces pre-trained tea...
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03/13/2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information
In a model inversion attack, an adversary attempts to reconstruct the da...
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12/01/2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Deep generative models have gained much attention given their ability to...
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08/23/2021
Semantic-Preserving Adversarial Text Attacks
Deep neural networks (DNNs) are known to be vulnerable to adversarial im...
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05/19/2021
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning
To ensure the privacy of sensitive data used in the training of deep lea...
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04/13/2021
Fair and Differentially Private Distributed Frequency Estimation
In order to remain competitive, Internet companies collect and analyse u...
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03/12/2021
DP-Image: Differential Privacy for Image Data in Feature Space
The excessive use of images in social networks, government databases, an...
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11/07/2020
Differential Advising in Multi-Agent Reinforcement Learning
Agent advising is one of the main approaches to improve agent learning p...
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11/02/2020
the Connection between Cryptography and Differential Privacy: a Survey
Due to the successful application of data analysis technology in many fi...
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10/19/2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
Federated learning is an improved version of distributed machine learnin...
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09/25/2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
A growing specter in the rise of machine learning is whether the decisio...
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09/14/2020
Fairness Constraints in Semi-supervised Learning
Fairness in machine learning has received considerable attention. Howeve...
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08/27/2020
Privacy Intelligence: A Survey on Image Sharing on Online Social Networks
Image sharing on online social networks (OSNs) has become an indispensab...
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08/16/2020
Differentially Private Multi-Agent Planning for Logistic-like Problems
Planning is one of the main approaches used to improve agents' working e...
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08/14/2020
Efficiently Constructing Adversarial Examples by Feature Watermarking
With the increasing attentions of deep learning models, attacks are also...
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08/13/2020
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries
Cyber deception is one of the key approaches used to mislead attackers b...
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08/09/2020
Local Differential Privacy and Its Applications: A Comprehensive Survey
With the fast development of Information Technology, a tremendous amount...
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08/05/2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Artificial Intelligence (AI) has attracted a great deal of attention in ...
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08/01/2020
Correlated Data in Differential Privacy: Definition and Analysis
Differential privacy is a rigorous mathematical framework for evaluating...
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07/21/2020
Fair and autonomous sharing of federate learning models in mobile Internet of Things
Federate learning can conduct machine learning as well as protect the pr...
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05/19/2019