Adversarial Training with Stochastic Weight Average
Authors: Joong-Won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae | Published: 2020-09-21
Literature Database
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining
Authors: Łukasz Korycki, Bartosz Krawczyk | Published: 2020-09-20
Phishing Detection Using Machine Learning Techniques
Authors: Vahid Shahrivari, Mohammad Mahdi Darabi, Mohammad Izadi | Published: 2020-09-20
Early detection of the advanced persistent threat attack using performance analysis of deep learning
Authors: Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool, Mohammad GhasemiGol, Shahab S., Amir Mosavi | Published: 2020-09-19
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks
Authors: Yaguan Qian, Qiqi Shao, Jiamin Wang, Xiang Lin, Yankai Guo, Zhaoquan Gu, Bin Wang, Chunming Wu | Published: 2020-09-19 | Updated: 2020-11-25
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks
Authors: Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, Ping Li | Published: 2020-09-18 | Updated: 2020-10-13
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Authors: Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu | Published: 2020-09-18 | Updated: 2021-05-17
On Primes, Log-Loss Scores and (No) Privacy
Authors: Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier | Published: 2020-09-17
Real-Time Anomaly Detection in Edge Streams
Authors: Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos | Published: 2020-09-17 | Updated: 2022-04-25
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
Authors: Jie Peng, Zhaoxian Wu, Qing Ling, Tianyi Chen | Published: 2020-09-17 | Updated: 2021-08-28