Lichao Sun

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University of Illinois at Chicago

Privacy and Robustness in Federated Learning: Attacks and Defenses

As data are increasingly being stored in different silos and societies b...
12/07/2020 ∙ by Lingjuan Lyu, et al. ∙ 0 ∙ share

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Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks

Mixup is the latest data augmentation technique that linearly interpolat...
10/05/2020 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Federated Model Distillation with Noise-Free Differential Privacy

Conventional federated learning directly averaging model weights is only...
09/11/2020 ∙ by Lichao Sun, et al. ∙ 5 ∙ share

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A Survey on Text Classification: From Shallow to Deep Learning

Text classification is the most fundamental and essential task in natura...
08/02/2020 ∙ by Qian Li, et al. ∙ 0 ∙ share

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LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

Train machine learning models on sensitive user data has raised increasi...
07/31/2020 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Natural Backdoor Attack on Text Data

Deep learning has been widely adopted in natural language processing app...
06/29/2020 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Secure Network Release with Link Privacy

Many data mining and analytical tasks rely on the abstraction of network...
05/01/2020 ∙ by Carl Yang, et al. ∙ 0 ∙ share

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Differentially Private Deep Learning with Smooth Sensitivity

Ensuring the privacy of sensitive data used to train modern machine lear...
03/01/2020 ∙ by Lichao Sun, et al. ∙ 14 ∙ share

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Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

There is an increasing amount of literature that claims the brittleness ...
02/27/2020 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Target Privacy Preserving for Social Networks

In this paper, we incorporate the realistic scenario of key protection i...
02/09/2020 ∙ by Zhongyuan Jiang, et al. ∙ 0 ∙ share

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Not Just Cloud Privacy: Protecting Client Privacy in Teacher-Student Learning

Ensuring the privacy of sensitive data used to train modern machine lear...
10/17/2019 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Private Deep Learning with Teacher Ensembles

Privacy-preserving deep learning is crucial for deploying deep neural ne...
06/05/2019 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Adversarial Attack and Defense on Graph Data: A Survey

Deep neural networks (DNNs) have been widely applied in various applicat...
12/26/2018 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Private Model Compression via Knowledge Distillation

The soaring demand for intelligent mobile applications calls for deployi...
11/13/2018 ∙ by Ji Wang, et al. ∙ 0 ∙ share

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Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

Meta-graph is currently the most powerful tool for similarity search on ...
09/11/2018 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Deep Learning Towards Mobile Applications

Recent years have witnessed an explosive growth of mobile devices. Mobil...
09/10/2018 ∙ by Ji Wang, et al. ∙ 0 ∙ share

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Contaminant Removal for Android Malware Detection Systems

A recent report indicates that there is a new malicious app introduced e...
11/07/2017 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning

With the rapid growth in smartphone usage, more organizations begin to f...
11/07/2017 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Lichao Sun

Featured Co-authors

Bo Li

Philip S. Yu

Caiming Xiong

Jun Zhao

Hui Li

Jiawei Zhang

Qiang Yang

Jia Li

Hao Peng

Wenpeng Yin

Qian Li

Privacy and Robustness in Federated Learning: Attacks and Defenses

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks

Federated Model Distillation with Noise-Free Differential Privacy

A Survey on Text Classification: From Shallow to Deep Learning

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

Natural Backdoor Attack on Text Data

Secure Network Release with Link Privacy

Differentially Private Deep Learning with Smooth Sensitivity

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

Target Privacy Preserving for Social Networks

Not Just Cloud Privacy: Protecting Client Privacy in Teacher-Student Learning

Private Deep Learning with Teacher Ensembles

Adversarial Attack and Defense on Graph Data: A Survey

Private Model Compression via Knowledge Distillation

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

Deep Learning Towards Mobile Applications

Contaminant Removal for Android Malware Detection Systems

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning