Pets (Privacy Enhanced Technologies)

This reading group focuses on Applied MPC with focus on privacy-preserving Machine Learning.

Session 1
  • Speaker(s)   : Dakshayani, Rahul
  • Date & Time : 12th Jan 10:00 AM
  • Description   : ABY protocol
  • References   : DSZ15
Session 2
  • Speaker(s)   : Ajith
  • Date & Time : 19th Jan 10:00 AM
  • Description   : Oblivious Linear Function Evaluation (OLE)
  • References   : IPS08, GNN17
Session 3
  • Speaker(s)   : Dakshayani, Rahul
  • Date & Time : 26th Jan 09:30 AM
  • Description   : Privacy-Preserving Search, SecureML
  • References   : AHLR17 , MZ17
Session 4
  • Speaker(s)   : Ajith, Harsh
  • Date & Time : 16th Feb 09:30 AM
  • Description   : Privacy-Preserving Search, SecureML (Contd.)
  • References   : AHLR17 , MZ17
Session 5
  • Speaker(s)   : Harsh, Rahul, Dakshayani
  • Date & Time : 23rd Mar 09:30 AM
  • Description   : Machine Learning Basics
  • References   : Link 1 , Link 2 , Link 3
Session 6
  • Speaker(s)   : Ajith
  • Date & Time : 30th Mar 10:00 AM
  • Description   : Image Classification using non-linear Support Vector Machines
  • References   : Link 1 , Link 2
Session 7 & 8
  • Speaker(s)   : Harsh, Nishat
  • Date & Time : 06th Apr 09:30 AM
  • Description   : EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation
  • References   : Link
Session 7 & 8
  • Speaker(s)   : Arun, Laasya
  • Date & Time : 06th Apr 09:30 AM
  • Description   : Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications
  • References   : Link
Session 9
  • Speaker(s)   : Ajith, Arun
  • Date & Time : 13th Apr 10:00 AM
  • Description   : Formal Abstractions for Attested Execution Secure Processors
  • References   : Link
Session 10
  • Speaker(s)   : Megha, Swati
  • Date & Time :
  • Description   : PrivatePool: Privacy-Preserving Ridesharing
  • References   : HOS17
Session
  • Speaker(s)   : Dakshayani, Nishat
  • Date & Time :
  • Description   : Aggregating Private Sparse Learning Models Using Multi-Party Computation
  • References   : Link
Session 1
  • Speaker(s)   : Dakshayani, Rahul
  • Date & Time : 12th Jan 10:00 AM
  • Description   : ABY protocol
  • References   : DSZ15
Session 2
  • Speaker(s)   : Ajith
  • Date & Time : 19th Jan 10:00 AM
  • Description   : Oblivious Linear Function Evaluation (OLE)
  • References   : IPS08, GNN17
Session 3
  • Speaker(s)   : Dakshayani, Rahul
  • Date & Time : 26th Jan 09:30 AM
  • Description   : Privacy-Preserving Search, SecureML
  • References   : AHLR17 , MZ17
Session 4
  • Speaker(s)   : Ajith, Harsh
  • Date & Time : 16th Feb 09:30 AM
  • Description   : Privacy-Preserving Search, SecureML (Contd.)
  • References   : AHLR17 , MZ17
Session 5
  • Speaker(s)   : Harsh, Rahul, Dakshayani
  • Date & Time : 23rd Mar 09:30 AM
  • Description   : Machine Learning Basics
  • References   : Link 1 , Link 2 , Link 3
Session 6
  • Speaker(s)   : Ajith
  • Date & Time : 30th Mar 10:00 AM
  • Description   : Image Classification using non-linear Support Vector Machines
  • References   : Link 1 , Link 2
Session 7 & 8
  • Speaker(s)   : Harsh, Nishat
  • Date & Time : 06th Apr 10:00 AM
  • Description   : EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation
  • References   : Link
Session 7 & 8
  • Speaker(s)   : Arun, Laasya
  • Date & Time : 06th Apr 09:30 AM
  • Description   : Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications
  • References   : Link
Session 9
  • Speaker(s)   : Ajith, Arun
  • Date & Time : 13th Apr 10:00 AM
  • Description   : Formal Abstractions for Attested Execution Secure Processors
  • References   : Link
Session 10
  • Speaker(s)   : Megha, Swati
  • Date & Time :
  • Description   : PrivatePool: Privacy-Preserving Ridesharing
  • References   : HOS17
Session
  • Speaker(s)   : Dakshayani, Nishat
  • Date & Time :
  • Description   : Aggregating Private Sparse Learning Models Using Multi-Party Computation
  • References   : Link
Useful Links
  • Awesome AI Privacy. OpenMined [Link]