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
Attack Method
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
Reducing audio membership inference attack accuracy to chance: 4 defenses
Authors: Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios | Published: 2019-10-31
Certifiable Robustness to Graph Perturbations
Authors: Aleksandar Bojchevski, Stephan Günnemann | Published: 2019-10-31 | Updated: 2019-12-19
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Authors: Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh | Published: 2019-10-30
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization
Authors: Rana Abou Khamis, Omair Shafiq, Ashraf Matrawy | Published: 2019-10-30
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition
Authors: Mimansa Jaiswal, Emily Mower Provost | Published: 2019-10-29
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection
Authors: Anuj Dubey, Rosario Cammarota, Aydin Aysu | Published: 2019-10-29 | Updated: 2019-12-02
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks
Authors: Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan Oseledets, Zheng Zhang | Published: 2019-10-29 | Updated: 2020-04-29
Detection of Adversarial Attacks and Characterization of Adversarial Subspace
Authors: Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Published: 2019-10-26