Privacy-Preserving Gaussian Process Regression — A Modular Approach to the Application of Homomorphic Encryption
Authors: Peter Fenner, Edward O. Pyzer-Knapp | Published: 2020-01-28
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
Authors: William Briguglio, Sherif Saad | Published: 2020-01-27
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Authors: Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato | Published: 2020-01-27 | Updated: 2021-09-08
Practical Fast Gradient Sign Attack against Mammographic Image Classifier
Authors: Ibrahim Yilmaz | Published: 2020-01-27
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
Authors: Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty | Published: 2020-01-27
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
Authors: Rehana Mahfuz, Rajeev Sahay, Aly El Gamal | Published: 2020-01-26
Secondary Use of Electronic Health Record: Opportunities and Challenges
Authors: Shahid Munir Shah, Rizwan Ahmed Khan | Published: 2020-01-26
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack
Authors: Bo Zhang, Ruotong Yu, Haipei Sun, Yanying Li, Jun Xu, Hui Wang | Published: 2020-01-24
On the human evaluation of audio adversarial examples
Authors: Jon Vadillo, Roberto Santana | Published: 2020-01-23 | Updated: 2021-02-12
Adversarial Attack on Community Detection by Hiding Individuals
Authors: Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang | Published: 2020-01-22