Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
Authors: Jeonghwan Park, Niall McLaughlin, Ihsen Alouani | Published: 2025-03-04 | Updated: 2025-03-16
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Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Authors: Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-man Cheung, Yuval Elovici, Alexander Binder | Published: 2021-10-24
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
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Authors: Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis, Christos Chrysoulas, Alexios Mylonas, William J. Buchanan | Published: 2021-04-26
Random Noise Defense Against Query-Based Black-Box Attacks
Authors: Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu | Published: 2021-04-23 | Updated: 2021-10-30
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
Jacobian Regularization for Mitigating Universal Adversarial Perturbations
Authors: Kenneth T. Co, David Martinez Rego, Emil C. Lupu | Published: 2021-04-21 | Updated: 2021-09-13
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Authors: Yue Gao, Ilia Shumailov, Kassem Fawaz | Published: 2021-04-18 | Updated: 2022-06-19
Sparse Coding Frontend for Robust Neural Networks
Authors: Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow | Published: 2021-04-12
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Authors: Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan | Published: 2021-03-07