Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
Authors: Zhongyi Hu, Raymond Chiong, Ilung Pranata, Willy Susilo, Yukun Bao | Published: 2019-02-23
Poisoning
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
Authors: Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin | Published: 2019-02-20
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training
Authors: Silvija Kokalj-Filipovic, Rob Miller, Nicholas Chang, Chi Leung Lau | Published: 2019-02-16
Adversarial Attack and Defense on Graph Data: A Survey
Authors: Lichao Sun, Yingtong Dou, Carl Yang, Ji Wang, Yixin Liu, Philip S. Yu, Lifang He, Bo Li | Published: 2018-12-26 | Updated: 2022-10-06
Analyzing Federated Learning through an Adversarial Lens
Authors: Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo | Published: 2018-11-29 | Updated: 2019-11-25
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
Authors: Florian Tramèr, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, Dan Boneh | Published: 2018-11-08 | Updated: 2019-08-26
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Authors: Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-02 | Updated: 2020-05-14
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks
Authors: Davide Maiorca, Battista Biggio, Giorgio Giacinto | Published: 2018-11-02 | Updated: 2020-04-14
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Authors: Pang Wei Koh, Jacob Steinhardt, Percy Liang | Published: 2018-11-02 | Updated: 2021-12-03
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Authors: Yanyao Shen, Sujay Sanghavi | Published: 2018-10-28 | Updated: 2019-02-18