Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Authors: Ahmed Aldahdooh, Wassim Hamidouche, Sid Ahmed Fezza, Olivier Deforges | Published: 2021-05-01 | Updated: 2022-01-07
性能評価
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Authors: Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li | Published: 2021-04-22
Generating Black-Box Adversarial Examples in Sparse Domain
Authors: Hadi Zanddizari, Behnam Zeinali, J. Morris Chang | Published: 2021-01-22 | Updated: 2021-10-15
Membership Inference Attack on Graph Neural Networks
Authors: Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla | Published: 2021-01-17 | Updated: 2021-12-18
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
Authors: J. -P. Schulze, P. Sperl, K. Böttinger | Published: 2021-01-12 | Updated: 2024-01-14
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Authors: Jing Lin, Ryan Luley, Kaiqi Xiong | Published: 2021-01-01 | Updated: 2021-09-02
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies
Authors: Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar, Md. Hasan Furhad, Fazle Rahat, Mohammed Moshiul Hoque, Muhammad Sarfraz | Published: 2020-12-09
Improving Query Efficiency of Black-box Adversarial Attack
Authors: Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo | Published: 2020-09-24 | Updated: 2020-09-25
Phishing Detection Using Machine Learning Techniques
Authors: Vahid Shahrivari, Mohammad Mahdi Darabi, Mohammad Izadi | Published: 2020-09-20
Manifold attack
Authors: Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, Jean-Luc Starck | Published: 2020-09-13 | Updated: 2021-03-17