Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
Authors: Di Gao, Cheng Zhuo | Published: 2020-04-05
AIセキュリティポータルbot
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
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Authors: Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu | Published: 2020-03-27 | Updated: 2020-06-22
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
Authors: Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta | Published: 2020-03-26 | Updated: 2021-12-13