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Privacy in Deep Learning: A Survey

Privacy in Deep Learning: A Survey

25 April 2020
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
    FedML
ArXivPDFHTML

Papers citing "Privacy in Deep Learning: A Survey"

24 / 24 papers shown
Title
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
E. Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Page-Caccia
Alessandro Sordoni
MoMe
39
31
0
18 May 2024
Mathematical Algorithm Design for Deep Learning under Societal and
  Judicial Constraints: The Algorithmic Transparency Requirement
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
Holger Boche
Adalbert Fono
Gitta Kutyniok
FaML
31
4
0
18 Jan 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
26
10
0
31 Aug 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning
FedMultimodal: A Benchmark For Multimodal Federated Learning
Tiantian Feng
Digbalay Bose
Tuo Zhang
Rajat Hebbar
Anil Ramakrishna
Rahul Gupta
Mi Zhang
Salman Avestimehr
Shrikanth Narayanan
32
48
0
15 Jun 2023
Privacy Protectability: An Information-theoretical Approach
Privacy Protectability: An Information-theoretical Approach
Siping Shi
Bihai Zhang
Dan Wang
23
1
0
25 May 2023
Hierarchical Training of Deep Neural Networks Using Early Exiting
Hierarchical Training of Deep Neural Networks Using Early Exiting
Yamin Sepehri
P. Pad
A. C. Yüzügüler
P. Frossard
L. A. Dunbar
28
7
0
04 Mar 2023
Privacy-Preserving Feature Coding for Machines
Privacy-Preserving Feature Coding for Machines
Bardia Azizian
Ivan V. Bajić
22
5
0
03 Oct 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
24
58
0
30 Jun 2022
Climate Change & Computer Audition: A Call to Action and Overview on
  Audio Intelligence to Help Save the Planet
Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet
Björn W. Schuller
Ali Akman
Yi-Fen Chang
H. Coppock
Alexander Gebhard
Alexander Kathan
Esther Rituerto-González
Andreas Triantafyllopoulos
Florian B. Pokorny
30
1
0
10 Mar 2022
Quantifying Privacy Risks of Masked Language Models Using Membership
  Inference Attacks
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
30
151
0
08 Mar 2022
Attribute Inference Attack of Speech Emotion Recognition in Federated
  Learning Settings
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings
Tiantian Feng
H. Hashemi
Rajat Hebbar
M. Annavaram
Shrikanth S. Narayanan
13
25
0
26 Dec 2021
Confidential Machine Learning Computation in Untrusted Environments: A
  Systems Security Perspective
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
Kha Dinh Duy
Taehyun Noh
Siwon Huh
Hojoon Lee
56
9
0
05 Nov 2021
Addressing Privacy Threats from Machine Learning
Addressing Privacy Threats from Machine Learning
Mary Anne Smart
21
2
0
25 Oct 2021
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine
  Learning Models
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
28
3
0
06 Oct 2021
UserIdentifier: Implicit User Representations for Simple and Effective
  Personalized Sentiment Analysis
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah
Vaishnavi Shrivastava
Milad Shokouhi
Taylor Berg-Kirkpatrick
Robert Sim
Dimitrios Dimitriadis
FedML
46
33
0
01 Oct 2021
Federated Learning for Open Banking
Federated Learning for Open Banking
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
29
275
0
24 Aug 2021
When Differential Privacy Meets Interpretability: A Case Study
When Differential Privacy Meets Interpretability: A Case Study
Rakshit Naidu
Aman Priyanshu
Aadith Kumar
Sasikanth Kotti
Haofan Wang
Fatemehsadat Mireshghallah
14
9
0
24 Jun 2021
Membership Inference on Word Embedding and Beyond
Membership Inference on Word Embedding and Beyond
Saeed Mahloujifar
Huseyin A. Inan
Melissa Chase
Esha Ghosh
Marcello Hasegawa
MIACV
SILM
19
46
0
21 Jun 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
30
412
0
14 Mar 2021
Privacy Regularization: Joint Privacy-Utility Optimization in Language
  Models
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah
Huseyin A. Inan
Marcello Hasegawa
Victor Rühle
Taylor Berg-Kirkpatrick
Robert Sim
16
39
0
12 Mar 2021
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
96
235
0
16 Sep 2019
SoK: Differential Privacies
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
31
121
0
04 Jun 2019
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
114
395
0
08 Jun 2018
Secure Face Matching Using Fully Homomorphic Encryption
Secure Face Matching Using Fully Homomorphic Encryption
Vishnu Naresh Boddeti
PICV
CVBM
65
108
0
01 May 2018
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