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Deep Leakage from Gradients

Deep Leakage from Gradients

21 June 2019
Ligeng Zhu
Zhijian Liu
Song Han
    FedML
ArXivPDFHTML

Papers citing "Deep Leakage from Gradients"

50 / 368 papers shown
Title
A New Implementation of Federated Learning for Privacy and Security
  Enhancement
A New Implementation of Federated Learning for Privacy and Security Enhancement
Xiang Ma
Haijian Sun
R. Hu
Yi Qian
FedML
43
3
0
03 Aug 2022
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation
  from Patients with Cleft Lip
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip
Shuang Chen
Amir Atapour-Abarghouei
Joanne Kerby
Edmond S. L. Ho
D. Sainsbury
Sophie Butterworth
Hubert P. H. Shum
MedIm
21
5
0
01 Aug 2022
Verifiable Encodings for Secure Homomorphic Analytics
Verifiable Encodings for Secure Homomorphic Analytics
Sylvain Chatel
Christian Knabenhans
Apostolos Pyrgelis
Carmela Troncoso
Jean-Pierre Hubaux
33
19
0
28 Jul 2022
Accelerating Vertical Federated Learning
Accelerating Vertical Federated Learning
Dongqi Cai
Tao Fan
Yan Kang
Lixin Fan
Mengwei Xu
Shangguang Wang
Qiang Yang
FedML
19
7
0
23 Jul 2022
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech
  Recognition at Production Scale
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
Gopinath Chennupati
Milind Rao
Gurpreet Chadha
Aaron Eakin
A. Raju
...
Andrew Oberlin
Buddha Nandanoor
Prahalad Venkataramanan
Zheng Wu
Pankaj Sitpure
CLL
27
8
0
19 Jul 2022
Training Large-Vocabulary Neural Language Models by Private Federated
  Learning for Resource-Constrained Devices
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
Mingbin Xu
Congzheng Song
Ye Tian
Neha Agrawal
Filip Granqvist
...
Shiyi Han
Yaqiao Deng
Leo Liu
Anmol Walia
Alex Jin
FedML
15
22
0
18 Jul 2022
FLAIR: Federated Learning Annotated Image Repository
FLAIR: Federated Learning Annotated Image Repository
Congzheng Song
Filip Granqvist
Kunal Talwar
FedML
26
28
0
18 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
24
7
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
36
26
0
13 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
27
13
0
05 Jul 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving
  Deep Learning Using Trusted Hardware
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
H. Hashemi
Yongqin Wang
M. Annavaram
FedML
26
58
0
30 Jun 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning
zPROBE: Zero Peek Robustness Checks for Federated Learning
Zahra Ghodsi
Mojan Javaheripi
Nojan Sheybani
Xinqiao Zhang
Ke Huang
F. Koushanfar
FedML
50
17
0
24 Jun 2022
An Efficient Industrial Federated Learning Framework for AIoT: A Face
  Recognition Application
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Youlong Ding
Xueyang Wu
Zhitao Li
Zeheng Wu
S. Tan
Qian Xu
Weike Pan
Qiang Yang
FedML
38
4
0
21 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your
  Data
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Fangcheng Fu
Huanran Xue
Yong Cheng
Yangyu Tao
Bin Cui
FedML
26
59
0
16 Jun 2022
Reconstructing Training Data from Trained Neural Networks
Reconstructing Training Data from Trained Neural Networks
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
40
132
0
15 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang
Song Guo
Junxiao Wang
Xin Xie
Dacheng Tao
35
36
0
15 Jun 2022
Deep Leakage from Model in Federated Learning
Deep Leakage from Model in Federated Learning
Zihao Zhao
Mengen Luo
Wenbo Ding
FedML
26
14
0
10 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated
  Learning
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
D. Baron
H. Dai
FedML
36
46
0
08 Jun 2022
Rate Distortion Tradeoff in Private Read Update Write in Federated
  Submodel Learning
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning
Sajani Vithana
S. Ulukus
FedML
34
8
0
07 Jun 2022
Subject Membership Inference Attacks in Federated Learning
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
30
25
0
07 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
38
41
0
03 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
28
398
0
01 Jun 2022
Private Federated Submodel Learning with Sparsification
Private Federated Submodel Learning with Sparsification
Sajani Vithana
S. Ulukus
FedML
26
10
0
31 May 2022
Secure Federated Clustering
Secure Federated Clustering
Songze Li
Sizai Hou
Baturalp Buyukates
A. Avestimehr
FedML
23
9
0
31 May 2022
Encoded Gradients Aggregation against Gradient Leakage in Federated
  Learning
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning
Dun Zeng
Shiyu Liu
Siqi Liang
Zonghang Li
Hongya Wang
Irwin King
Zenglin Xu
FedML
34
0
0
26 May 2022
Recovering Private Text in Federated Learning of Language Models
Recovering Private Text in Federated Learning of Language Models
Samyak Gupta
Yangsibo Huang
Zexuan Zhong
Tianyu Gao
Kai Li
Danqi Chen
FedML
38
74
0
17 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Decentralized Stochastic Optimization with Inherent Privacy Protection
Decentralized Stochastic Optimization with Inherent Privacy Protection
Yongqiang Wang
H. Vincent Poor
24
37
0
08 May 2022
Federated Learning with Noisy User Feedback
Federated Learning with Noisy User Feedback
Rahul Sharma
Anil Ramakrishna
Ansel MacLaughlin
Anna Rumshisky
Jimit Majmudar
Clement Chung
Salman Avestimehr
Rahul Gupta
FedML
21
10
0
06 May 2022
Symbolic analysis meets federated learning to enhance malware identifier
Symbolic analysis meets federated learning to enhance malware identifier
Khanh-Huu-The Dam
Charles-Henry Bertrand Van Ouytsel
Axel Legay
FedML
29
5
0
29 Apr 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning
AGIC: Approximate Gradient Inversion Attack on Federated Learning
Jin Xu
Chi Hong
Jiyue Huang
L. Chen
Jérémie Decouchant
AAML
FedML
29
21
0
28 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
28
15
0
26 Apr 2022
Analysing the Influence of Attack Configurations on the Reconstruction
  of Medical Images in Federated Learning
Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning
M. Dahlgaard
Morten Wehlast Jorgensen
N. Fuglsang
Hiba Nassar
FedML
AAML
38
2
0
25 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
24
88
0
11 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random
  Patch Permutation
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation
Sangjoon Park
Jong Chul Ye
FedML
MedIm
42
19
0
07 Apr 2022
User-Level Differential Privacy against Attribute Inference Attack of
  Speech Emotion Recognition in Federated Learning
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning
Tiantian Feng
Raghuveer Peri
Shrikanth Narayanan
FedML
20
28
0
05 Apr 2022
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
  Secure Aggregation for Federated Learning
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Songze Li
Giuseppe Caire
FedML
34
45
0
24 Mar 2022
Adaptive Aggregation For Federated Learning
Adaptive Aggregation For Federated Learning
K.R. Jayaram
Vinod Muthusamy
Gegi Thomas
Ashish Verma
Mark Purcell
FedML
33
16
0
23 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image
  Segmentation
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
H. Roth
Ali Hatamizadeh
Can Zhao
Daguang Xu
Heng-Chiao Huang
Ziyue Xu
FedML
38
51
0
18 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems:
  A Comprehensive Survey
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali
F. Naeem
M. Tariq
Georges Kaddoum
32
119
0
18 Mar 2022
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On
  Federated Learning using Multiview Pseudo-Labeling
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling
Tiantian Feng
Shrikanth Narayanan
38
17
0
15 Mar 2022
Privatized Graph Federated Learning
Privatized Graph Federated Learning
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
25
4
0
14 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning
No Free Lunch Theorem for Security and Utility in Federated Learning
Xiaojin Zhang
Hanlin Gu
Lixin Fan
Kai Chen
Qiang Yang
FedML
24
64
0
11 Mar 2022
Similarity-based Label Inference Attack against Training and Inference
  of Split Learning
Similarity-based Label Inference Attack against Training and Inference of Split Learning
Junlin Liu
Xinchen Lyu
Qimei Cui
Xiaofeng Tao
FedML
35
26
0
10 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local
  Training
Acceleration of Federated Learning with Alleviated Forgetting in Local Training
Chencheng Xu
Zhiwei Hong
Minlie Huang
Tao Jiang
FedML
24
46
0
05 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical
  Federated Learning
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Chong-Jun Wang
FedML
36
37
0
02 Mar 2022
Does Label Differential Privacy Prevent Label Inference Attacks?
Does Label Differential Privacy Prevent Label Inference Attacks?
Ruihan Wu
Jinfu Zhou
Kilian Q. Weinberger
Chuan Guo
28
15
0
25 Feb 2022
Privacy Leakage of Adversarial Training Models in Federated Learning
  Systems
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Jingyang Zhang
Yiran Chen
Hai Helen Li
FedML
PICV
35
15
0
21 Feb 2022
LAMP: Extracting Text from Gradients with Language Model Priors
LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunović
Dimitar I. Dimitrov
Nikola Jovanović
Martin Vechev
27
57
0
17 Feb 2022
Practical Challenges in Differentially-Private Federated Survival
  Analysis of Medical Data
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
Shadi Rahimian
Raouf Kerkouche
I. Kurth
Mario Fritz
FedML
22
11
0
08 Feb 2022
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