Secure Federated Submodel Learning
Authors: Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen | Published: 2019-11-06 | Updated: 2019-11-11
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
Authors: Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex Liu, Ting Wang | Published: 2019-11-05 | Updated: 2020-11-21
Long-range Event-level Prediction and Response Simulation for Urban Crime and Global Terrorism with Granger Networks
Authors: Timmy Li, Yi Huang, James Evans, Ishanu Chattopadhyay | Published: 2019-11-04
Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors
Authors: Jiazhu Dai, Le Shu | Published: 2019-11-04 | Updated: 2020-01-06
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
Authors: Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith | Published: 2019-11-03 | Updated: 2019-12-06
Online Robustness Training for Deep Reinforcement Learning
Authors: Marc Fischer, Matthew Mirman, Steven Stalder, Martin Vechev | Published: 2019-11-03 | Updated: 2019-11-22
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks
Authors: Shai Rozenberg, Gal Elidan, Ran El-Yaniv | Published: 2019-11-03 | Updated: 2020-06-12
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Authors: Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck | Published: 2019-11-02 | Updated: 2020-05-07
Operator and Manufacturer Independent D2D Private Link for Future 5G Networks
Authors: Ayoub Mars, Ahmad Abadleh, Wael Adi | Published: 2019-11-01
Privacy-Preserving Machine Learning Using EtC Images
Authors: Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya | Published: 2019-11-01