-
Local Black-box Adversarial Attacks: A Query Efficient Approach
Adversarial attacks have threatened the application of deep neural netwo...
01/04/2021 ∙ by Tao Xiang, et al. ∙
7
∙
share
read it
-
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Public resources and services (e.g., datasets, training platforms, pre-t...
12/13/2020 ∙ by Yi Zeng, et al. ∙
0
∙
share
read it
-
Privacy-preserving Collaborative Learning with Automatic Transformation Search
Collaborative learning has gained great popularity due to its benefit of...
11/25/2020 ∙ by Wei Gao, et al. ∙
4
∙
share
read it
-
The Hidden Vulnerability of Watermarking for Deep Neural Networks
Watermarking has shown its effectiveness in protecting the intellectual ...
09/18/2020 ∙ by Shangwei Guo, et al. ∙
39
∙
share
read it
-
Differentially Private Decentralized Learning
Decentralized learning has received great attention for its high efficie...
06/14/2020 ∙ by Shangwei Guo, et al. ∙
0
∙
share
read it
-
Towards Byzantine-resilient Learning in Decentralized Systems
With the proliferation of IoT and edge computing, decentralized learning...
02/20/2020 ∙ by Shangwei Guo, et al. ∙
0
∙
share
read it
