Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
Authors: Rhys Compton, Eibe Frank, Panos Patros, Abigail Koay | Published: 2020-04-06
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks
Authors: Kalikinkar Mandal, Guang Gong | Published: 2020-04-05
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
Authors: Di Gao, Cheng Zhuo | Published: 2020-04-05
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method
Authors: J. Matias Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro | Published: 2020-04-03
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
Authors: David Enthoven, Zaid Al-Ars | Published: 2020-04-01
Botnet Detection Using Recurrent Variational Autoencoder
Authors: Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu | Published: 2020-04-01
MetaPoison: Practical General-purpose Clean-label Data Poisoning
Authors: W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein | Published: 2020-04-01 | Updated: 2021-02-21
Information Leakage in Embedding Models
Authors: Congzheng Song, Ananth Raghunathan | Published: 2020-03-31 | Updated: 2020-08-19
Differentially Private Naive Bayes Classifier using Smooth Sensitivity
Authors: Farzad Zafarani, Chris Clifton | Published: 2020-03-31 | Updated: 2021-07-19
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Authors: Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla | Published: 2020-03-28 | Updated: 2020-08-19