Search Results for author: Shangwei Guo

Found 8 papers, 1 papers with code

A Novel Verifiable Fingerprinting Scheme for Generative Adversarial Networks

no code implementations19 Jun 2021 Guanlin Li, Guowen Xu, Han Qiu, Shangwei Guo, Run Wang, Jiwei Li, Tianwei Zhang

Our scheme constructs a composite deep learning model from the target GAN and a classifier.

Local Black-box Adversarial Attacks: A Query Efficient Approach

no code implementations4 Jan 2021 Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang, Xiaofeng Liao

Based on this property, we identify the discriminative areas of a given clean example easily for local perturbations.

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation

no code implementations13 Dec 2020 Han Qiu, Yi Zeng, Shangwei Guo, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham

In this paper, we investigate the effectiveness of data augmentation techniques in mitigating backdoor attacks and enhancing DL models' robustness.

Data Augmentation

Privacy-preserving Collaborative Learning with Automatic Transformation Search

1 code implementation CVPR 2021 Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu

Comprehensive evaluations demonstrate that the policies discovered by our method can defeat existing reconstruction attacks in collaborative learning, with high efficiency and negligible impact on the model performance.

Data Augmentation

Topology-aware Differential Privacy for Decentralized Image Classification

no code implementations14 Jun 2020 Shangwei Guo, Tianwei Zhang, Guowen Xu, Han Yu, Tao Xiang, Yang Liu

In this paper, we design Top-DP, a novel solution to optimize the differential privacy protection of decentralized image classification systems.

Classification Image Classification

Stealing Deep Reinforcement Learning Models for Fun and Profit

no code implementations9 Jun 2020 Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu

This paper presents the first model extraction attack against Deep Reinforcement Learning (DRL), which enables an external adversary to precisely recover a black-box DRL model only from its interaction with the environment.

Decision Making Imitation Learning +1

Towards Byzantine-resilient Learning in Decentralized Systems

no code implementations20 Feb 2020 Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu

However, there are currently no satisfactory solutions with strong efficiency and security in decentralized systems.


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