EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Authors: Sanchari Sen, Balaraman Ravindran, Anand Raghunathan | Published: 2020-04-21
Machine Learning
PhishOut: Effective Phishing Detection Using Selected Features
Authors: Suhail Paliath, Mohammad Abu Qbeitah, Monther Aldwairi | Published: 2020-04-21
Headless Horseman: Adversarial Attacks on Transfer Learning Models
Authors: Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu | Published: 2020-04-20
Local Differential Privacy based Federated Learning for Internet of Things
Authors: Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam | Published: 2020-04-19 | Updated: 2020-12-22
Data Poisoning Attacks on Federated Machine Learning
Authors: Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu | Published: 2020-04-19
On the (Un)Reliability of Privacy Policies in Android Apps
Authors: Luca Verderame, Davide Caputo, Andrea Romdhana, Alessio Merlo | Published: 2020-04-18
Feature Selection and Intrusion Detection in Cloud Environment based on Machine Learning Algorithms
Authors: Amir Javadpour, Sanaz Kazemi Abharian, Guojun Wang | Published: 2020-04-15
On the Resilience of Biometric Authentication Systems against Random Inputs
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kaafar | Published: 2020-01-13 | Updated: 2020-01-24
Membership Inference Attacks Against Object Detection Models
Authors: Yeachan Park, Myungjoo Kang | Published: 2020-01-12 | Updated: 2020-01-28
Simulated Blockchains for Machine Learning Traceability and Transaction Values in the Monero Network
Authors: Nathan Borggren, Hyoung-yoon Kim, Lihan Yao, Gary Koplik | Published: 2020-01-12