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PANDA: Practical Adversarial Attack Against Network Intrusion Detection

While adversarial machine learning (AML) attacks have become prevalent in the computer vision (CV) domain, their applications in other domains, such as network intrusion detection systems (NIDS), remain limited.
Kumar, V, Kim, DD, Swain, SK, Bai, G
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Adversarial Attack On Yolov5 For Traffic And Road Sign Detection [PDF]

This paper implements and investigates popular adversarial attacks on the YOLOv5 Object Detection algorithm. The paper explores the vulnerability of the YOLOv5 to adversarial attacks in the context of traffic and road sign detection.
Jain, Sanyam
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ALA: Naturalness-aware Adversarial Lightness Attack [PDF]

Most researchers have tried to enhance the robustness of DNNs by revealing and repairing the vulnerability of DNNs with specialized adversarial examples. Parts of the attack examples have imperceptible perturbations restricted by Lp norm. However, due to
Huang, Yihao, Guo, Qing, Pu, Geguang, Juefei-Xu, Felix, Sun, Liangru, Liu, Yang, Zhu, Jiayi, Feng, Jincao   +7 more
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Low-Rank Adversarial PGD Attack

Adversarial attacks on deep neural network models have seen rapid development and are extensively used to study the stability of these networks. Among various adversarial strategies, Projected Gradient Descent (PGD) is a widely adopted method in computer
Zangrando, Emanuele, Tudisco, Francesco, Savostianova, Dayana   +2 more
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Adversarial Attack Pada Teks Berbahasa Indonesia Menggunakan Framework TextAttack

Machine learning merupakan sebuah bidang keilmuan yang sangat cepat perkembangannya. Natural language processing atau NLP merupakan salah satu dari beberapa bagian keilmuan machine learning.
Setio Basuki, Ilham Aulady Miftakhurrizqy   +1 more
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Imperceptible Face Forgery Attack via Adversarial Semantic Mask [PDF]

With the great development of generative model techniques, face forgery detection draws more and more attention in the related field. Researchers find that existing face forgery models are still vulnerable to adversarial examples with generated pixel ...
Peng, Chunlei, Su, Qixuan, Liu, Decheng, Gao, Xinbo, Wang, Nannan   +4 more
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Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning

Graph neural network (GNN) has captured wide attention due to its capability of graph representation learning for graph-structured data. However, the distributed data silos limit the performance of GNN.
Zhang, Luxin, Cheng, Yao, Chen, Jinyin, Mu, Wenbo, Huang, Guohan, Zheng, Haibin   +5 more
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Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey

IEEE Communications Surveys and Tutorials, 2023
Vincent Poor, Wei Ni, Shenghong Li
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Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

ACM Computing Surveys, 2022
Lior Rokach, Yuval Elovici, Asaf Shabtai
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A Survey of Adversarial Attack and Defense Methods for Malware Classification in Cyber Security

IEEE Communications Surveys and Tutorials, 2023
Quan Yu
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