Shangwei Guo | DeepAI

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∙ 08/03/2023

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding

Deep hiding, embedding images with others using deep neural networks, ha...

0 Hangcheng Liu, et al. ∙

∙ 08/02/2023

Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator

DNN accelerators have been widely deployed in many scenarios to speed up...

0 Xiaobei Yan, et al. ∙

∙ 05/15/2023

Text Classification via Large Language Models

Despite the remarkable success of large-scale Language Models (LLMs) suc...

0 Xiaofei Sun, et al. ∙

∙ 02/23/2023

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding

Deep hiding, concealing secret information using Deep Neural Networks (D...

0 Han Li, et al. ∙

∙ 07/11/2022

Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption

Decentralized deep learning plays a key role in collaborative model trai...

0 Guowen Xu, et al. ∙

∙ 05/30/2022

CompleteDT: Point Cloud Completion with Dense Augment Inference Transformers

Point cloud completion task aims to predict the missing part of incomple...

18 Jun Li, et al. ∙

∙ 02/14/2022

Threats to Pre-trained Language Models: Survey and Taxonomy

Pre-trained language models (PTLMs) have achieved great success and rema...

0 Shangwei Guo, et al. ∙

∙ 12/10/2021

Protecting Your NLG Models with Semantic and Robust Watermarks

Natural language generation (NLG) applications have gained great popular...

0 Tao Xiang, et al. ∙

∙ 11/30/2021

CT-block: a novel local and global features extractor for point cloud

Deep learning on the point cloud is increasingly developing. Grouping th...

1 Shangwei Guo, et al. ∙

∙ 11/15/2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Backdoor attacks pose a new threat to NLP models. A standard strategy to...

0 Leilei Gan, et al. ∙

∙ 10/06/2021

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models

Pre-trained Natural Language Processing (NLP) models can be easily adapt...

0 Kangjie Chen, et al. ∙

∙ 06/05/2021

PEEL: A Provable Removal Attack on Deep Hiding

Deep hiding, embedding images into another using deep neural networks, h...

0 Tao Xiang, et al. ∙

∙ 01/04/2021

Local Black-box Adversarial Attacks: A Query Efficient Approach

Adversarial attacks have threatened the application of deep neural netwo...

7 Tao Xiang, et al. ∙

∙ 12/13/2020

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

Public resources and services (e.g., datasets, training platforms, pre-t...

0 Yi Zeng, et al. ∙

∙ 11/25/2020

Privacy-preserving Collaborative Learning with Automatic Transformation Search

Collaborative learning has gained great popularity due to its benefit of...

4 Wei Gao, et al. ∙

∙ 09/18/2020

The Hidden Vulnerability of Watermarking for Deep Neural Networks

Watermarking has shown its effectiveness in protecting the intellectual ...

39 Shangwei Guo, et al. ∙

∙ 06/14/2020

Differentially Private Decentralized Learning

Decentralized learning has received great attention for its high efficie...

0 Shangwei Guo, et al. ∙

∙ 02/20/2020

Towards Byzantine-resilient Learning in Decentralized Systems

With the proliferation of IoT and edge computing, decentralized learning...

0 Shangwei Guo, et al. ∙

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