Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2004.12254
Cited By
Privacy in Deep Learning: A Survey
25 April 2020
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Privacy in Deep Learning: A Survey"
24 / 24 papers shown
Title
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
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
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
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
Siping Shi
Bihai Zhang
Dan Wang
23
1
0
25 May 2023
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
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
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
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
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
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
Kha Dinh Duy
Taehyun Noh
Siwon Huh
Hojoon Lee
56
9
0
05 Nov 2021
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
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
28
3
0
06 Oct 2021
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
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
29
275
0
24 Aug 2021
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
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
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
Fatemehsadat Mireshghallah
Huseyin A. Inan
Marcello Hasegawa
Victor Rühle
Taylor Berg-Kirkpatrick
Robert Sim
16
39
0
12 Mar 2021
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
Damien Desfontaines
Balázs Pejó
31
121
0
04 Jun 2019
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
Vishnu Naresh Boddeti
PICV
CVBM
65
108
0
01 May 2018
1