ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.10143
  4. Cited By
Adversarial Learning of Privacy-Preserving and Task-Oriented
  Representations

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations

22 November 2019
Taihong Xiao
Yi-Hsuan Tsai
Kihyuk Sohn
Manmohan Chandraker
Ming-Hsuan Yang
ArXivPDFHTML

Papers citing "Adversarial Learning of Privacy-Preserving and Task-Oriented Representations"

11 / 11 papers shown
Title
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Song Xia
Yi Yu
Wenhan Yang
Meiwen Ding
Zhuo Chen
Lingyu Duan
Alex C. Kot
Xudong Jiang
56
2
0
01 Mar 2025
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular
  Data Using GPT-4
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4
Bishwas Mandal
G. Amariucai
Shuangqing Wei
33
1
0
07 Apr 2024
Privacy Assessment on Reconstructed Images: Are Existing Evaluation
  Metrics Faithful to Human Perception?
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
Xiaoxiao Sun
Nidham Gazagnadou
Vivek Sharma
Lingjuan Lyu
Hongdong Li
Liang Zheng
47
8
0
22 Sep 2023
Robust Representation Learning for Privacy-Preserving Machine Learning:
  A Multi-Objective Autoencoder Approach
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari
Ali Burak Ünal
Mete Akgun
Nícolas Pfeifer
32
0
0
08 Sep 2023
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for
  Multi-task Learning
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning
Md. Adnan Arefeen
Zhouyu Li
M. Y. S. Uddin
Anupam Das
27
0
0
13 May 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential
  Privacy
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
Natalia Ponomareva
Hussein Hazimeh
Alexey Kurakin
Zheng Xu
Carson E. Denison
H. B. McMahan
Sergei Vassilvitskii
Steve Chien
Abhradeep Thakurta
96
167
0
01 Mar 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence
  Scores
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
Ziqi Yang
Li-Juan Wang
D. Yang
Jie Wan
Ziming Zhao
E. Chang
Fan Zhang
Kui Ren
AAML
24
15
0
01 Dec 2022
Adversarial Representation Sharing: A Quantitative and Secure
  Collaborative Learning Framework
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework
Jikun Chen
Feng Qiang
Na Ruan
FedML
16
1
0
27 Mar 2022
Learning to Anonymize Faces for Privacy Preserving Action Detection
Learning to Anonymize Faces for Privacy Preserving Action Detection
Zhongzheng Ren
Yong Jae Lee
Michael S. Ryoo
CVBM
PICV
78
204
0
30 Mar 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Privacy Against Statistical Inference
Privacy Against Statistical Inference
Flavio du Pin Calmon
N. Fawaz
FedML
100
345
0
08 Oct 2012
1