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Papers
2007.03608
Cited By

Backdoor attacks and defenses in feature-partitioned collaborative
learning

Backdoor attacks and defenses in feature-partitioned collaborative learning

7 July 2020

Yang Liu

ArXiv (abs)PDF HTML

Papers citing "Backdoor attacks and defenses in feature-partitioned collaborative learning"

32 / 32 papers shown

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

211

3

0

07 Oct 2025

A Survey on Data Security in Large Language Models

A Survey on Data Security in Large Language Models

265

1

1

04 Aug 2025

VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning

VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning

248

0

0

19 Jul 2025

Query-Efficient Adversarial Attack Against Vertical Federated Graph
Learning

Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning

334

1

0

05 Nov 2024

Vertical Federated Learning for Effectiveness, Security, Applicability:
A Survey

Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey

Bo Du

Vassili Kovalev

391

33

0

25 May 2024

Let's Focus: Focused Backdoor Attack against Federated Transfer Learning

Let's Focus: Focused Backdoor Attack against Federated Transfer Learning

Stefanos Koffas

Antonino Nocera

247

4

0

30 Apr 2024

Attacks on fairness in Federated Learning

Attacks on fairness in Federated Learning

379

3

0

21 Nov 2023

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

Hideaki Takahashi

332

15

0

15 Oct 2023

Heterogeneous Federated Learning: State-of-the-art and Research
Challenges

Heterogeneous Federated Learning: State-of-the-art and Research ChallengesACM Computing Surveys (ACM Comput. Surv.), 2023

Bo Du

530

567

0

20 Jul 2023

Secure and Fast Asynchronous Vertical Federated Learning via Cascaded
Hybrid Optimization

Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid OptimizationMachine-mediated learning (ML), 2023

318

7

0

28 Jun 2023

Universal Adversarial Backdoor Attacks to Fool Vertical Federated
Learning in Cloud-Edge Collaboration

Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge CollaborationComputers & security (Comput. Secur.), 2023

225

22

0

22 Apr 2023

A Survey on Vertical Federated Learning: From a Layered Perspective

A Survey on Vertical Federated Learning: From a Layered Perspective

Leye Wang

301

42

0

04 Apr 2023

Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges
and Future Research Directions

Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research DirectionsEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023

Thuy-Dung Nguyen

208

106

0

03 Mar 2023

Attacks in Adversarial Machine Learning: A Systematic Survey from the
Life-cycle Perspective

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective

542

35

0

19 Feb 2023

Vertical Federated Learning: Taxonomies, Threats, and Prospects

Vertical Federated Learning: Taxonomies, Threats, and Prospects

310

15

0

03 Feb 2023

Machine Learning for Large-Scale Optimization in 6G Wireless Networks

Machine Learning for Large-Scale Optimization in 6G Wireless NetworksIEEE Communications Surveys and Tutorials (COMST), 2023

328

178

0

03 Jan 2023

Mutual Information Regularization for Vertical Federated Learning

Mutual Information Regularization for Vertical Federated Learning

Yang Liu

333

7

0

01 Jan 2023

Hijack Vertical Federated Learning Models As One Party

Hijack Vertical Federated Learning Models As One PartyIEEE Transactions on Dependable and Secure Computing (TDSC), 2022

Xuhong Zhang

Yuwen Pu

330

13

0

01 Dec 2022

Vertical Federated Learning: Concepts, Advances and Challenges

Vertical Federated Learning: Concepts, Advances and ChallengesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

Yang Liu

557

333

0

23 Nov 2022

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

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

Chulin Xie

298

22

0

20 Jul 2022

Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive
Privacy Analysis and Beyond

Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond

Tianle Cai

195

10

0

19 Jul 2022

Desirable Companion for Vertical Federated Learning: New Zeroth-Order
Gradient Based Algorithm

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based AlgorithmInternational Conference on Information and Knowledge Management (CIKM), 2021

Heng-Chiao Huang

293

19

0

19 Mar 2022

Survey on Federated Learning Threats: concepts, taxonomy on attacks and
defences, experimental study and challenges

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challengesInformation Fusion (Inf. Fusion), 2022

Nuria Rodríguez-Barroso

Daniel Jiménez López

Francisco Herrera

Eugenio Martínez-Cámara

311

303

0

20 Jan 2022

Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
Survey

Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey

Yang Liu

391

13

0

19 Dec 2021

Batch Label Inference and Replacement Attacks in Black-Boxed Vertical
Federated Learning

Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning

Yang Liu

316

26

0

10 Dec 2021

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

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and DefensesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020

Dimitris Tsipras

Chulin Xie

Avi Schwarzschild

Aleksander Madry

628

383

0

18 Dec 2020

An Exploratory Analysis on Users' Contributions in Federated Learning

An Exploratory Analysis on Users' Contributions in Federated LearningInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2020

307

39

0

13 Nov 2020

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view
Training

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training

Yang Liu

295

69

0

25 Aug 2020

FedML: A Research Library and Benchmark for Federated Machine Learning

FedML: A Research Library and Benchmark for Federated Machine Learning

...

Yang Liu

Salman Avestimehr

788

686

0

27 Jul 2020

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive
Review

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Hyoungshick Kim

411

277

0

21 Jul 2020

Backdoor Learning: A Survey

Backdoor Learning: A SurveyIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020

738

790

0

17 Jul 2020

Advances and Open Problems in Federated Learning

Advances and Open Problems in Federated Learning

...

781

8,302

0

10 Dec 2019

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