Chulin Xie | DeepAI

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Bo Li
461 publications
Bo Zhang
226 publications
Anima Anandkumar
190 publications
Pin-Yu Chen
183 publications
Tom Goldstein
140 publications
Yu Cheng
139 publications
Ce Zhang
133 publications
Kai Zhang
131 publications
Dawn Song
130 publications
Hao Yang
100 publications
Ding Zhao
90 publications

∙ 06/20/2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Generative Pre-trained Transformer (GPT) models have exhibited exciting ...

0 Boxin Wang, et al. ∙

∙ 06/08/2023

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs

This paper introduces FedMLSecurity, a benchmark that simulates adversar...

7 Shanshan Han, et al. ∙

∙ 02/13/2023

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees

Personalized Federated Learning (pFL) has emerged as a promising solutio...

1 Chulin Xie, et al. ∙

∙ 09/08/2022

Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks

Federated learning (FL) provides an efficient paradigm to jointly train ...

11 Chulin Xie, et al. ∙

∙ 09/08/2022

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions

Recent advances in machine learning have enabled its wide application in...

16 Chulin Xie, et al. ∙

∙ 07/21/2022

UniFed: A Benchmark for Federated Learning Frameworks

Federated Learning (FL) has become a practical and popular paradigm in m...

11 Xiaoyuan Liu, et al. ∙

∙ 07/21/2022

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data

Federated learning (FL) provides an effective paradigm to train machine ...

2 Wenda Chu, et al. ∙

∙ 07/20/2022

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM

Federated learning (FL) enables distributed devices to jointly train a s...

4 Chulin Xie, et al. ∙

∙ 07/15/2021

Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting

We study the realistic potential of conducting backdoor attack against d...

6 Xiangyu Qi, et al. ∙

∙ 06/15/2021

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks

Federated Learning (FL) as a distributed learning paradigm that aggregat...

2 Chulin Xie, et al. ∙

∙ 03/03/2021

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

In this paper, we proposed a novel Style-based Point Generator with Adve...

6 Chulin Xie, et al. ∙

∙ 12/18/2020

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

As machine learning systems grow in scale, so do their training data req...

71 Micah Goldblum, et al. ∙

∙ 12/24/2019

Attack-Resistant Federated Learning with Residual-based Reweighting

Federated learning has a variety of applications in multiple domains by ...

0 Shuhao Fu, et al. ∙

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