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How To Backdoor Federated Learning

How To Backdoor Federated Learning

2 July 2018
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
    SILM
    FedML
ArXivPDFHTML

Papers citing "How To Backdoor Federated Learning"

50 / 349 papers shown
Title
Revisiting Personalized Federated Learning: Robustness Against Backdoor
  Attacks
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
43
26
0
03 Feb 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
55
2
0
26 Jan 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning
BayBFed: Bayesian Backdoor Defense for Federated Learning
Kavita Kumari
Phillip Rieger
Hossein Fereidooni
Murtuza Jadliwala
A. Sadeghi
AAML
FedML
36
33
0
23 Jan 2023
Poisoning Attacks and Defenses in Federated Learning: A Survey
Poisoning Attacks and Defenses in Federated Learning: A Survey
S. Sagar
Chang-Sun Li
S. W. Loke
Jinho Choi
OOD
FedML
31
9
0
14 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications
FedDebug: Systematic Debugging for Federated Learning Applications
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
34
11
0
09 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Guangsheng Yu
Xu Wang
Caijun Sun
Qin Wang
Ping Yu
Wei Ni
R. Liu
Xiwei Xu
OOD
AI4CE
29
25
0
07 Jan 2023
Analysis of Label-Flip Poisoning Attack on Machine Learning Based
  Malware Detector
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
26
18
0
03 Jan 2023
Differentially Private Federated Clustering over Non-IID Data
Differentially Private Federated Clustering over Non-IID Data
Yiwei Li
Shuai Wang
Chong-Yung Chi
Tony Q.S. Quek
FedML
40
13
0
03 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and
  Semantics
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding
Zhaohui Yang
Viet Quoc Pham
Zhaoyang Zhang
M. Shikh-Bahaei
36
32
0
03 Jan 2023
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and
  Security, Edge Computing, and Blockchain
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain
Vesal Ahsani
Alireza Rahimi
Mehdi Letafati
B. Khalaj
46
15
0
01 Jan 2023
Mutual Information Regularization for Vertical Federated Learning
Mutual Information Regularization for Vertical Federated Learning
Tianyuan Zou
Yang Liu
Ya-Qin Zhang
AAML
FedML
40
7
0
01 Jan 2023
Deep Hierarchy Quantization Compression algorithm based on Dynamic
  Sampling
Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling
W. Jiang
Gang Liu
Xiaofeng Chen
Yipeng Zhou
FedML
24
0
0
30 Dec 2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for
  Federated Learning
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Jianyi Zhang
Fangjiao Zhang
Qichao Jin
Zhiqiang Wang
Xiaodong Lin
X. Hei
AAML
FedML
38
1
0
28 Dec 2022
Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning
Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning
Dongfang Zhao
FedML
35
0
0
21 Dec 2022
Meta-analysis of individualized treatment rules via sign-coherency
Meta-analysis of individualized treatment rules via sign-coherency
Jay Jojo Cheng
J. Huling
Guanhua Chen
38
0
0
28 Nov 2022
Federated Learning Attacks and Defenses: A Survey
Federated Learning Attacks and Defenses: A Survey
Yao Chen
Yijie Gui
Hong Lin
Wensheng Gan
Yongdong Wu
FedML
49
29
0
27 Nov 2022
Navigation as Attackers Wish? Towards Building Robust Embodied Agents
  under Federated Learning
Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning
Yunchao Zhang
Zonglin Di
KAI-QING Zhou
Cihang Xie
Xin Eric Wang
FedML
AAML
39
2
0
27 Nov 2022
FedTracker: Furnishing Ownership Verification and Traceability for
  Federated Learning Model
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao
Wenyuan Yang
Hanlin Gu
Zhan Qin
Lixin Fan
Qiang Yang
Kui Ren
FedML
34
29
0
14 Nov 2022
Watermarking in Secure Federated Learning: A Verification Framework
  Based on Client-Side Backdooring
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Wenyuan Yang
Shuo Shao
Yue Yang
Xiyao Liu
Ximeng Liu
Zhihua Xia
Gerald Schaefer
Hui Fang
FedML
14
21
0
14 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning
  Attacks
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Naoya Tezuka
H. Ochiai
Yuwei Sun
Hiroshi Esaki
AAML
37
4
0
07 Nov 2022
Dormant Neural Trojans
Dormant Neural Trojans
Feisi Fu
Panagiota Kiourti
Wenchao Li
AAML
32
0
0
02 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on
  Semi-supervised Learning
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
Virat Shejwalkar
Lingjuan Lyu
Amir Houmansadr
AAML
35
10
0
01 Nov 2022
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet
  Distance
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
Youngjoon Lee
Sangwoo Park
Joonhyuk Kang
FedML
41
7
0
29 Oct 2022
Robustness of Locally Differentially Private Graph Analysis Against
  Poisoning
Robustness of Locally Differentially Private Graph Analysis Against Poisoning
Jacob Imola
A. Chowdhury
Kamalika Chaudhuri
AAML
30
6
0
25 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated
  Learning
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Kaiyuan Zhang
Guanhong Tao
Qiuling Xu
Shuyang Cheng
Shengwei An
...
Shiwei Feng
Guangyu Shen
Pin-Yu Chen
Shiqing Ma
Xiangyu Zhang
FedML
49
53
0
23 Oct 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning
  using Historical Information
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information
Xiaoyu Cao
Jinyuan Jia
Zaixi Zhang
Neil Zhenqiang Gong
FedML
MU
AAML
34
73
0
20 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
56
5
0
19 Oct 2022
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor
  Attacks in Federated Learning
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Hossein Souri
Ramalingam Chellappa
Micah Goldblum
Tom Goldstein
AAML
SILM
FedML
32
9
0
17 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning
CrowdGuard: Federated Backdoor Detection in Federated Learning
Phillip Rieger
T. Krauß
Markus Miettinen
Alexandra Dmitrienko
Ahmad-Reza Sadeghi Technical University Darmstadt
AAML
FedML
34
22
0
14 Oct 2022
Distributed Distributionally Robust Optimization with Non-Convex
  Objectives
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao
Kai Yang
Dongjin Song
29
11
0
14 Oct 2022
Federated Learning based on Defending Against Data Poisoning Attacks in
  IoT
Federated Learning based on Defending Against Data Poisoning Attacks in IoT
Jiayin Li
Wenzhong Guo
Xingshuo Han
Jianping Cai
Ximeng Liu
AAML
83
1
0
14 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events
Cerberus: Exploring Federated Prediction of Security Events
Mohammad Naseri
Yufei Han
Enrico Mariconti
Yun Shen
Gianluca Stringhini
Emiliano De Cristofaro
FedML
50
14
0
07 Sep 2022
Orchestrating Collaborative Cybersecurity: A Secure Framework for
  Distributed Privacy-Preserving Threat Intelligence Sharing
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing
J. Troncoso-Pastoriza
Alain Mermoud
Romain Bouyé
Francesco Marino
Jean-Philippe Bossuat
Vincent Lenders
Jean-Pierre Hubaux
37
3
0
06 Sep 2022
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
Guanxiong Liu
Abdallah Khreishah
Fatima Sharadgah
Issa M. Khalil
AAML
33
8
0
05 Sep 2022
Network-Level Adversaries in Federated Learning
Network-Level Adversaries in Federated Learning
Giorgio Severi
Matthew Jagielski
Gokberk Yar
Yuxuan Wang
Alina Oprea
Cristina Nita-Rotaru
FedML
28
17
0
27 Aug 2022
MUDGUARD: Taming Malicious Majorities in Federated Learning using
  Privacy-Preserving Byzantine-Robust Clustering
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering
Rui Wang
Xingkai Wang
H. Chen
Jérémie Decouchant
S. Picek
Ziqiang Liu
K. Liang
40
1
0
22 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in
  Federated Learning
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
41
13
0
21 Aug 2022
FedPerm: Private and Robust Federated Learning by Parameter Permutation
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Hamid Mozaffari
Virendra J. Marathe
D. Dice
FedML
37
4
0
16 Aug 2022
A Fast Blockchain-based Federated Learning Framework with Compressed
  Communications
A Fast Blockchain-based Federated Learning Framework with Compressed Communications
Laizhong Cui
Xiaoxin Su
Yipeng Zhou
FedML
22
23
0
12 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
50
91
0
05 Aug 2022
FLDetector: Defending Federated Learning Against Model Poisoning Attacks
  via Detecting Malicious Clients
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Zaixi Zhang
Xiaoyu Cao
Jin Jia
Neil Zhenqiang Gong
AAML
FedML
24
214
0
19 Jul 2022
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme
  against Free-Rider Attack
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme against Free-Rider Attack
Jianhua Wang
Xiaolin Chang
J. Misic
Vojislav B. Mišić
Yixiang Wang
29
7
0
15 Jul 2022
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Naif Alkhunaizi
Dmitry Kamzolov
Martin Takávc
Karthik Nandakumar
OOD
26
9
0
15 Jul 2022
Enhanced Security and Privacy via Fragmented Federated Learning
Enhanced Security and Privacy via Fragmented Federated Learning
N. Jebreel
J. Domingo-Ferrer
Alberto Blanco-Justicia
David Sánchez
FedML
39
26
0
13 Jul 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
Federated Unlearning: How to Efficiently Erase a Client in FL?
Anisa Halimi
S. Kadhe
Ambrish Rawat
Nathalie Baracaldo
MU
25
122
0
12 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense
  Mechanisms
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
34
13
0
05 Jul 2022
Defending against the Label-flipping Attack in Federated Learning
Defending against the Label-flipping Attack in Federated Learning
N. Jebreel
J. Domingo-Ferrer
David Sánchez
Alberto Blanco-Justicia
AAML
18
36
0
05 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning
FL-Defender: Combating Targeted Attacks in Federated Learning
N. Jebreel
J. Domingo-Ferrer
AAML
FedML
45
57
0
02 Jul 2022
Backdoor Attack is a Devil in Federated GAN-based Medical Image
  Synthesis
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis
Ruinan Jin
Xiaoxiao Li
AAML
FedML
MedIm
52
12
0
02 Jul 2022
DECK: Model Hardening for Defending Pervasive Backdoors
DECK: Model Hardening for Defending Pervasive Backdoors
Guanhong Tao
Yingqi Liu
Shuyang Cheng
Shengwei An
Zhuo Zhang
Qiuling Xu
Guangyu Shen
Xiangyu Zhang
AAML
31
7
0
18 Jun 2022
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