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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning


Jul 26, 2022
Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen


   Access Paper or Ask Questions

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

Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning


Jan 19, 2022
Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu


   Access Paper or Ask Questions

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

FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps


Nov 21, 2021
Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan

* The first two authors contributed equally to this work 

   Access Paper or Ask Questions

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

FLSys: Toward an Open Ecosystem for FederatedLearning Mobile Apps


Nov 17, 2021
Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan

* The first two authors contributed equally to this work 

   Access Paper or Ask Questions

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

Continual Learning with Differential Privacy


Oct 11, 2021
Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai

* The paper will appear at ICONIP21 

   Access Paper or Ask Questions

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

A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples


Sep 03, 2021
Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan


   Access Paper or Ask Questions

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

Ontology-based Interpretable Machine Learning for Textual Data


Apr 01, 2020
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou

* Accepted by IJCNN 2020 

   Access Paper or Ask Questions

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

Evaluating Explainers via Perturbation


Jun 05, 2019
Minh N. Vu, Truc D. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai


   Access Paper or Ask Questions

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

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness


Jun 02, 2019
NhatHai Phan, Minh Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai

* arXiv admin note: text overlap with arXiv:1903.09822 

   Access Paper or Ask Questions

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

Preserving Differential Privacy in Convolutional Deep Belief Networks


Apr 23, 2018
NhatHai Phan, Xintao Wu, Dejing Dou


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>