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1807.00459
Cited By
How To Backdoor Federated Learning
2 July 2018
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILM
FedML
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Papers citing
"How To Backdoor Federated Learning"
50 / 349 papers shown
Title
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
M. Raissi
AI4CE
55
2
0
26 Jan 2023
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
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
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
34
11
0
09 Jan 2023
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
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
26
18
0
03 Jan 2023
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
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
Vesal Ahsani
Alireza Rahimi
Mehdi Letafati
B. Khalaj
46
15
0
01 Jan 2023
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
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
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
Dongfang Zhao
FedML
35
0
0
21 Dec 2022
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
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
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
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
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
Naoya Tezuka
H. Ochiai
Yuwei Sun
Hiroshi Esaki
AAML
37
4
0
07 Nov 2022
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
Virat Shejwalkar
Lingjuan Lyu
Amir Houmansadr
AAML
35
10
0
01 Nov 2022
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
Jacob Imola
A. Chowdhury
Kamalika Chaudhuri
AAML
30
6
0
25 Oct 2022
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
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
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
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
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
Yang Jiao
Kai Yang
Dongjin Song
29
11
0
14 Oct 2022
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
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
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)
Guanxiong Liu
Abdallah Khreishah
Fatima Sharadgah
Issa M. Khalil
AAML
33
8
0
05 Sep 2022
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
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
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
Hamid Mozaffari
Virendra J. Marathe
D. Dice
FedML
37
4
0
16 Aug 2022
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
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
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
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
Naif Alkhunaizi
Dmitry Kamzolov
Martin Takávc
Karthik Nandakumar
OOD
26
9
0
15 Jul 2022
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?
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
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
34
13
0
05 Jul 2022
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
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
Ruinan Jin
Xiaoxiao Li
AAML
FedML
MedIm
52
12
0
02 Jul 2022
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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