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Get your Foes Fooled: Proximal Gradient Split Learning for Defense
  against Model Inversion Attacks on IoMT data

Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data

12 January 2022
Sunder Ali Khowaja
I. Lee
K. Dev
M. Jarwar
N. Qureshi
    AAML
ArXivPDFHTML

Papers citing "Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data"

5 / 5 papers shown
Title
A Taxonomy of Attacks and Defenses in Split Learning
A Taxonomy of Attacks and Defenses in Split Learning
Aqsa Shabbir
Halil Ibrahim Kanpak
Alptekin Küpçü
Sinem Sav
43
0
0
09 May 2025
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Sunder Ali Khowaja
P. Khuwaja
K. Dev
Weizheng Wang
Lewis Nkenyereye
29
76
0
13 Apr 2023
AI and 6G into the Metaverse: Fundamentals, Challenges and Future
  Research Trends
AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends
Muhammad Zawish
Fayaz Ali Dharejo
Sunder Ali Khowaja
Saleem Raza
Steven Davy
K. Dev
P. Bellavista
24
61
0
23 Aug 2022
Deep Representation Learning of Electronic Health Records to Unlock
  Patient Stratification at Scale
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi
B. Glicksberg
Hao-Chih Lee
S. Cherng
Giulia Landi
M. Danieletto
J. Dudley
Cesare Furlanello
Riccardo Miotto
37
148
0
14 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
1