Table of Contents

Overview

Participants

# Name Dept Advisor Mobile Phone Email Address
1 ZHANG ZHONG CE Minho Shin 010-2676-8912 zhangzhong219017@hotmail.com
2 Jafar
3 Girum

Agenda

Date Name Topic Slides Minutes
4/6 Minho Ice-breaking
How to read / review a paper PPT
4/13 Zhong Perfectly Privacy-Preserving AI,
A Survey on Collaborative Deep Learning
and Privacy-Preserving 		Privacy-Preserving AI
4/20 Jafar Privacy-Preserving Deep Learning Privacy-Preserving DL
4/27 Girum Privacy-Preserving Scoring of Tree Ensembles:
A Novel Framework for AI in Healthcare
5/4 Zhong FlowIntent: Detecting Privacy Leakage from
User Intention to Network Traffic Mapping
5/11 Jafar A Hybrid Deep Learning Architecture for
Privacy-Preserving Mobile Analytics
5/18 Girum AutoPer: Automatic Recommender for
Runtime-Permission in Android Applications
5/25 Zhong Deep Models Under the GAN Information Leakage from
Collaborative Deep Learning
5/?
5/??
6/1
6/8
6/15
6/22
6/?

Class Information

Reading List

List: privacy-preserving_ai-2020.4.1.pdf

SAMPLE:

Privacy-preserving for AI applications:

  1. Privacy Preserving in Blockchain based on Partial Homomorphic Encryption System for AI Applications
  2. (Taken by zz) A Survey on Collaborative Deep Learning and Privacy-Preserving
  3. Membership inference attacks against machine learning models
  4. (Taken by Jafar)Privacy-Preserving Deep Learning
  5. Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
  6. SecureML: A System for Scalable Privacy-Preserving Machine Learning
  7. (Taken by Ejigu)Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare

Privacy-preserving approach using machine learning:

  1. (Taken by Jafar)A hybrid deep learning architecture for privacy-preserving mobile analytics
  2. A machine-learning based approach to privacy-aware information-sharing in mobile social networks
  3. The feasibility of dynamically granted permissions: Aligning mobile privacy with user preferences
  4. Turtle Guard: Helping Android Users Apply Contextual Privacy Preferences
  5. SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices
  6. ConXsense – Automated Context Classification for Context-Aware Access Control
  7. (Taken by zz)FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping
  8. (Taken by Ejigu)AutoPer: Automatic Recommender for Runtime-Permission in Android Applications
  9. Contextualizing Privacy Decisionsfor Better Prediction (and Protection)
  10. Keeping Context In Mind: Automating Mobile App Access Control with User Interface Inspection
  11. iprivacy: Image privacy protection by identifying sensitive objects via deep multi-task learning

Others:

  1. Crowd-ml: A privacy-preserving learning framework for a crowd of smart devices
  2. Blind Data Classification Using Hyper-Dimensional Convex Polytopes
  3. Deep learning with differential privacy