Revocable Federated Learning: A Benchmark of Federated Forest
Authors: Yang Liu, Zhuo Ma, Ximeng Liu, Zhuzhu Wang, Siqi Ma, Ken Ren | Published: 2019-11-08
Performance Evaluation
Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique
Authors: Muhammad Furqan Rafique, Muhammad Ali, Aqsa Saeed Qureshi, Asifullah Khan, Anwar Majid Mirza | Published: 2019-10-24 | Updated: 2020-12-26
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
Authors: Alexander Levine, Soheil Feizi | Published: 2019-10-23
Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms
Authors: Karl Michel Koerich, Mohammad Esmaeilpour, Sajjad Abdoli, Alceu de Souza Britto Jr., Alessandro Lameiras Koerich | Published: 2019-10-22 | Updated: 2020-07-29
GraphSAC: Detecting anomalies in large-scale graphs
Authors: Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis | Published: 2019-10-21
Learning to Learn by Zeroth-Order Oracle
Authors: Yangjun Ruan, Yuanhao Xiong, Sashank Reddi, Sanjiv Kumar, Cho-Jui Hsieh | Published: 2019-10-21 | Updated: 2020-02-07
Cryptomining Makes Noise: a Machine Learning Approach for Cryptojacking Detection
Authors: Maurantonio Caprolu, Simone Raponi, Gabriele Oligeri, Roberto Di Pietro | Published: 2019-10-21 | Updated: 2020-01-28
Deep k-NN Defense against Clean-label Data Poisoning Attacks
Authors: Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson | Published: 2019-09-29 | Updated: 2020-08-13
White-Box Adversarial Defense via Self-Supervised Data Estimation
Authors: Zudi Lin, Hanspeter Pfister, Ziming Zhang | Published: 2019-09-13
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
Authors: Chaomin Shen, Yaxin Peng, Guixu Zhang, Jinsong Fan | Published: 2019-09-13