Xiaoyu Cao | DeepAI

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Jia Liu
108 publications
Neil Zhenqiang Gong
63 publications
Yao Yao
47 publications
Jinyuan Jia
39 publications
Li Xiao
35 publications
Binghui Wang
34 publications
Hongbin Liu
18 publications
Lanqing Li
17 publications
Shihui Guo
15 publications
Zaixi Zhang
13 publications
Minghong Fang
12 publications

∙ 08/22/2023

TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes

Video data and algorithms have been driving advances in multi-object tra...

0 Xiaoyan Cao, et al. ∙

∙ 10/20/2022

FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information

Federated learning is vulnerable to poisoning attacks in which malicious...

4 Xiaoyu Cao, et al. ∙

∙ 10/02/2022

FLCert: Provably Secure Federated Learning against Poisoning Attacks

Due to its distributed nature, federated learning is vulnerable to poiso...

7 Xiaoyu Cao, et al. ∙

∙ 07/19/2022

FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients

Federated learning (FL) is vulnerable to model poisoning attacks, in whi...

16 Zaixi Zhang, et al. ∙

∙ 04/09/2022

A dataset of ant colonies motion trajectories in indoor and outdoor scenes for social cluster behavior study

Motion and interaction of social insects (such as ants) have been studie...

0 Meihong Wu, et al. ∙

∙ 03/16/2022

MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients

Existing model poisoning attacks to federated learning assume that an at...

0 Xiaoyu Cao, et al. ∙

∙ 11/22/2021

Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data

Local Differential Privacy (LDP) protocols enable an untrusted server to...

0 Yongji Wu, et al. ∙

∙ 09/13/2021

FaceGuard: Proactive Deepfake Detection

Existing deepfake-detection methods focus on passive detection, i.e., th...

0 Yuankun Yang, et al. ∙

∙ 07/06/2021

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control

Agriculture is the foundation of human civilization. However, the rapid ...

1 Xiaoyan Cao, et al. ∙

∙ 07/05/2021

Understanding the Security of Deepfake Detection

Deepfakes pose growing challenges to the trust of information on the Int...

0 Xiaoyu Cao, et al. ∙

∙ 02/03/2021

Provably Secure Federated Learning against Malicious Clients

Federated learning enables clients to collaboratively learn a shared glo...

0 Xiaoyu Cao, et al. ∙

∙ 12/27/2020

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Byzantine-robust federated learning aims to enable a service provider to...

0 Xiaoyu Cao, et al. ∙

∙ 12/07/2020

Certified Robustness of Nearest Neighbors against Data Poisoning Attacks

Data poisoning attacks aim to corrupt a machine learning model via modif...

0 Jinyuan Jia, et al. ∙

∙ 11/15/2020

Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations

Top-k predictions are used in many real-world applications such as machi...

0 Jinyuan Jia, et al. ∙

∙ 08/24/2020

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation

Graph neural networks (GNNs) have recently gained much attention for nod...

0 Binghui Wang, et al. ∙

∙ 08/11/2020

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

In a data poisoning attack, an attacker modifies, deletes, and/or insert...

0 Jinyuan Jia, et al. ∙

∙ 02/26/2020

On Certifying Robustness against Backdoor Attacks via Randomized Smoothing

Backdoor attack is a severe security threat to deep neural networks (DNN...

0 Binghui Wang, et al. ∙

∙ 02/09/2020

Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing

Community detection plays a key role in understanding graph structure. H...

0 Jinyuan Jia, et al. ∙

∙ 12/20/2019

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing

It is well-known that classifiers are vulnerable to adversarial perturba...

0 Jinyuan Jia, et al. ∙

∙ 11/26/2019

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

In federated learning, multiple client devices jointly learn a machine l...

0 Minghong Fang, et al. ∙

∙ 11/05/2019

Data Poisoning Attacks to Local Differential Privacy Protocols

Local Differential Privacy (LDP) protocols enable an untrusted data coll...

0 Xiaoyu Cao, et al. ∙

∙ 10/28/2019

IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary

A deep neural network (DNN) classifier represents a model owner's intell...

0 Xiaoyu Cao, et al. ∙

∙ 09/17/2017

Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification

Deep neural networks (DNNs) have transformed several artificial intellig...

0 Xiaoyu Cao, et al. ∙

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