Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Scaling Private Deep Learning with Low-Rank and Sparse Gradients


Jul 06, 2022
Ryuichi Ito , Seng Pei Liew , Tsubasa Takahashi , Yuya Sasaki , Makoto Onizuka


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Shuffle Gaussian Mechanism for Differential Privacy


Jul 04, 2022
Seng Pei Liew , Tsubasa Takahashi

* Fixed typos. The source code of our implementation is available at http://github.com/spliew/shuffgauss 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning


Jun 07, 2022
Seng Pei Liew , Satoshi Hasegawa , Tsubasa Takahashi

* 16 pages, 4 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Network Shuffling: Privacy Amplification via Random Walks


Apr 08, 2022
Seng Pei Liew , Tsubasa Takahashi , Shun Takagi , Fumiyuki Kato , Yang Cao , Masatoshi Yoshikawa

* 15 pages, 9 figures; SIGMOD 2022 version 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Universal Adversarial Spoofing Attacks against Face Recognition


Oct 02, 2021
Takuma Amada , Seng Pei Liew , Kazuya Kakizaki , Toshinori Araki

* Accepted to International Joint Conference on Biometrics (IJCB 2021) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning


Jun 08, 2021
Seng Pei Liew , Tsubasa Takahashi , Michihiko Ueno

* 23 pages, 8 figures, 3 tables 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider


May 16, 2021
Anna Stakia , Tommaso Dorigo , Giovanni Banelli , Daniela Bortoletto , Alessandro Casa , Pablo de Castro , Christophe Delaere , Julien Donini , Livio Finos , Michele Gallinaro , Andrea Giammanco , Alexander Held , Fabricio Jiménez Morales , Grzegorz Kotkowski , Seng Pei Liew , Fabio Maltoni , Giovanna Menardi , Ioanna Papavergou , Alessia Saggio , Bruno Scarpa , Giles C. Strong , Cecilia Tosciri , João Varela , Pietro Vischia , Andreas Weiler

* 95 pages, 21 figures, submitted to Elsevier 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries


Oct 27, 2020
Seng Pei Liew , Tsubasa Takahashi


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email