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Exploiting Unintended Feature Leakage in Collaborative Learning
v1v2v3 (latest)

Exploiting Unintended Feature Leakage in Collaborative Learning

10 May 2018
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
    FedML
ArXiv (abs)PDFHTML

Papers citing "Exploiting Unintended Feature Leakage in Collaborative Learning"

50 / 666 papers shown
QBI: Quantile-based Bias Initialization for Efficient Private Data
  Reconstruction in Federated Learning
QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning
Micha V. Nowak
Tim P. Bott
David Khachaturov
Frank Puppe
Adrian Krenzer
Amar Hekalo
FedML
163
1
0
26 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New
  Balances and New Perspectives
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
Linlin Wang
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
235
3
0
16 Jun 2024
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided
  Diffusion Model
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model
Jiayang Meng
Tao Huang
Hong Chen
Cuiping Li
DiffM
179
3
0
13 Jun 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership
  Inference Attacks
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks
Peizhi Niu
Chao Pan
Siheng Chen
Olgica Milenkovic
AAML
306
0
0
12 Jun 2024
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
Shang Wang
Tianqing Zhu
B. Liu
Ming Ding
Dayong Ye
Dayong Ye
Wanlei Zhou
PILM
385
22
0
12 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
265
28
0
08 Jun 2024
When Swarm Learning meets energy series data: A decentralized
  collaborative learning design based on blockchain
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain
Lei Xu
Yulong Chen
Yuntian Chen
Longfeng Nie
Xuetao Wei
Liang Xue
Dongxiao Zhang
168
0
0
07 Jun 2024
Federated Representation Learning in the Under-Parameterized Regime
Federated Representation Learning in the Under-Parameterized RegimeInternational Conference on Machine Learning (ICML), 2024
Renpu Liu
Cong Shen
Jing Yang
356
9
0
07 Jun 2024
R-CONV: An Analytical Approach for Efficient Data Reconstruction via
  Convolutional Gradients
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional GradientsWISE (WISE), 2024
T. Eltaras
Q. Malluhi
Alessandro Savino
S. Di Carlo
Adnan Qayyum
Junaid Qadir
FedML
155
3
0
06 Jun 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated
  Learning
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning
Kun Wang
Yi-Rui Yang
Wu-Jun Li
168
2
0
05 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
369
3
0
04 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
332
2
0
01 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic
  Meta-Learning
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning
Mina Rafiei
Mohammadmahdi Maheri
Hamid R. Rabiee
249
2
0
01 Jun 2024
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated
  Learning
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
Xiao-ying Gan
Shanyu Gan
Taizhi Su
Peng Liu
FedML
150
2
0
31 May 2024
An Experimental Study of Different Aggregation Schemes in
  Semi-Asynchronous Federated Learning
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning
Yunbo Li
Jiaping Gui
Yue Wu
FedML
168
0
0
25 May 2024
Decaf: Data Distribution Decompose Attack against Federated Learning
Decaf: Data Distribution Decompose Attack against Federated Learning
Zhiyang Dai
Chunyi Zhou
Anmin Fu
187
4
0
24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated
  AI-enabled Critical Infrastructure
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure
Zehang Deng
Ruoxi Sun
Minhui Xue
Sheng Wen
S. Çamtepe
Surya Nepal
Yang Xiang
203
11
0
24 May 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks
  with Secure Aggregation
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
Peihua Mai
Ran Yan
Yan Pang
FedML
203
22
0
24 May 2024
Securing Health Data on the Blockchain: A Differential Privacy and
  Federated Learning Framework
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
Daniel Commey
Sena Hounsinou
Garth V. Crosby
128
11
0
19 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity ConsiderationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
384
2
0
16 May 2024
Private Data Leakage in Federated Human Activity Recognition for
  Wearable Healthcare Devices
Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices
Kongyang Chen
Dongping Zhang
Sijia Guan
Bing Mi
Jiaxing Shen
Guoqing Wang
FedML
255
5
0
14 May 2024
The Privacy Power of Correlated Noise in Decentralized Learning
The Privacy Power of Correlated Noise in Decentralized Learning
Youssef Allouah
Anastasia Koloskova
Aymane El Firdoussi
Martin Jaggi
R. Guerraoui
267
18
0
02 May 2024
Recovering Labels from Local Updates in Federated Learning
Recovering Labels from Local Updates in Federated Learning
Huancheng Chen
H. Vikalo
FedMLAAML
115
7
0
02 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
Xavier Martínez Luana
Rebeca P. Díaz Redondo
Manuel Fernández-Veiga
FedML
479
2
0
02 May 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical
  Federated Learning
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
Marco Arazzi
S. Nicolazzo
Antonino Nocera
FedMLAAML
229
8
0
18 Apr 2024
Towards a Game-theoretic Understanding of Explanation-based Membership
  Inference Attacks
Towards a Game-theoretic Understanding of Explanation-based Membership Inference AttacksDecision and Game Theory for Security (GameSec), 2024
Kavita Kumari
Murtuza Jadliwala
S. Jha
Anindya Maiti
222
3
0
10 Apr 2024
pfl-research: simulation framework for accelerating research in Private
  Federated Learning
pfl-research: simulation framework for accelerating research in Private Federated LearningNeural Information Processing Systems (NeurIPS), 2024
Filip Granqvist
Congzheng Song
Áine Cahill
Rogier van Dalen
Martin Pelikan
Yi Sheng Chan
Xiaojun Feng
Natarajan Krishnaswami
Vojta Jina
Mona Chitnis
FedML
232
13
0
09 Apr 2024
Federated Distillation: A Survey
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DDFedML
335
23
0
02 Apr 2024
Privacy Re-identification Attacks on Tabular GANs
Privacy Re-identification Attacks on Tabular GANs
Abdallah Alshantti
Adil Rasheed
Frank Westad
AAML
230
9
0
31 Mar 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks,
  Attacks, and Countermeasures
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
Thanh Tam Nguyen
T. T. Huynh
Zhao Ren
Thanh Toan Nguyen
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
450
12
0
31 Mar 2024
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic
  Learning over Low-power Devices
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices
Hanqing Fu
Gaolei Li
Jun Wu
Jianhua Li
Xi Lin
Wei Song
Yuchen Liu
AAML
232
3
0
27 Mar 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from
  Federated Learning
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
Joshua C. Zhao
Ahaan Dabholkar
Atul Sharma
Saurabh Bagchi
FedML
188
3
0
26 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding
  Architectures
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
S. V. Dibbo
Adam Breuer
Juston S. Moore
Michael Teti
AAML
257
7
0
21 Mar 2024
Efficient and Privacy-Preserving Federated Learning based on Full
  Homomorphic Encryption
Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
Yuqi Guo
Lin Li
Zhongxiang Zheng
Hanrui Yun
Ruoyan Zhang
Xiaolin Chang
Zhixuan Gao
FedML
169
7
0
18 Mar 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy
  Traps
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy TrapsConference on Computer and Communications Security (CCS), 2024
Ruixuan Liu
Tianhao Wang
Yang Cao
Li Xiong
AAMLSILM
673
28
0
14 Mar 2024
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition
  Against Model Inversion Attack
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
Yinggui Wang
Yuanqing Huang
Jianshu Li
Le Yang
Kai Song
Lei Wang
AAMLPICV
301
1
0
14 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges
Federated Learning: Attacks, Defenses, Opportunities, and ChallengesInternational Symposium on Telecommunications (IST), 2024
Ghazaleh Shirvani
Saeid Ghasemshirazi
Behzad Beigzadeh
FedML
305
7
0
10 Mar 2024
Defending Against Data Reconstruction Attacks in Federated Learning: An
  Information Theory Approach
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Qi Tan
Qi Li
Yi Zhao
Zhuotao Liu
Xiaobing Guo
Ke Xu
FedML
246
10
0
02 Mar 2024
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure
  Multi-Party Computation
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation
Mayar Elfares
Pascal Reisert
Zhiming Hu
Wenwu Tang
Ralf Küsters
Andreas Bulling
FedML
182
8
0
29 Feb 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An
  Adversarial Perspective
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
Xinjian Luo
Yangfan Jiang
Fei Wei
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
DiffM
335
9
0
28 Feb 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights
  from a Benchmark Study
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study
Natalija Mitic
Apostolos Pyrgelis
Sinem Sav
FedML
338
3
0
25 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from
  cybersecurity, transparency, robustness and fairness
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
David Fernández Llorca
Ronan Hamon
Henrik Junklewitz
Kathrin Grosse
Lars Kunze
...
Nick Reed
Alexandre Alahi
Emilia Gómez
Ignacio E. Sánchez
Á. Kriston
287
13
0
21 Feb 2024
Prompt Stealing Attacks Against Large Language Models
Prompt Stealing Attacks Against Large Language Models
Zeyang Sha
Yang Zhang
SILMAAML
359
44
0
20 Feb 2024
The Fundamental Limits of Least-Privilege Learning
The Fundamental Limits of Least-Privilege Learning
Theresa Stadler
B. Kulynych
Michael Gastpar
Nicoals Papernot
Carmela Troncoso
197
1
0
19 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
370
2
0
19 Feb 2024
Trained Without My Consent: Detecting Code Inclusion In Language Models
  Trained on Code
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
Vahid Majdinasab
Amin Nikanjam
Foutse Khomh
189
13
0
14 Feb 2024
Momentum Approximation in Asynchronous Private Federated Learning
Momentum Approximation in Asynchronous Private Federated Learning
Tao Yu
Congzheng Song
Jianyu Wang
Mona Chitnis
FedML
235
3
0
14 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning:
  From Model Life Cycle Perspective
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective
Lei Yu
Meng Han
Yiming Li
Changting Lin
Yao Zhang
...
Yan Liu
Haiqin Weng
Yuseok Jeon
Ka-Ho Chow
Stacy Patterson
FedML
297
9
0
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Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
361
44
0
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Survey of Privacy Threats and Countermeasures in Federated Learning
Survey of Privacy Threats and Countermeasures in Federated Learning
M. Hayashitani
Junki Mori
Isamu Teranishi
FedML
377
1
0
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