Search Results - "Adversarial machine learning"

Quantum-Enhanced Adversarial Defense: A Hybrid Machine Learning Framework for Post-Quantum Cybersecurity.

Authors: Banakar, Sumanth Kosireddy, Jaya Madhava Sai Teja Davis, Justin et al.

Source: EPJ Web of Conferences. 5/29/2026, Vol. 370, p1-14. 14p.

The emerging AI battlespace: Counter-AI threats to AI-powered satellite remote sensing analysis.

Authors: He, Jingjie (AUTHOR) hejingjie@cass.org.cn

Source: Bulletin of the Atomic Scientists. May2026, Vol. 82 Issue 3, p212-220. 9p.

Subject Terms: *Satellite-based remote sensing, *Adversarial machine learning, *Data extraction, *Arms control, *Internet security

一种多任务注意力联合蒸馏的调制识别方法.

Alternate Title: A Multi-task Attention Joint Knowledge Distillation Method for Modulation Recognition.

Authors: 颜祥俊 陈奕功 刘少龙 et al.

Source: Telecommunication Engineering. 5/28/2026, Vol. 66 Issue 5, p782-790. 9p.

An Empirical Study on the Social Media False Information Dissemination Model Based on AI Confrontation Mechanism.

Authors: WANG, Zhongzi JI, Cheng

Source: Technical Gazette / Tehnički Vjesnik. 2026, Vol. 33 Issue 3, p896-908. 13p.

Subjects: Misinformation, Adversarial machine learning, Emotional state, Social media, Risk perception, Information-seeking behavior

Towards a Better Characterization of Adversarial Attacks in Geospatial Imagery.

Authors: Zaveri, Veet Maiya, Arun S.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p2041. 46p.

Subjects: Adversarial machine learning, Remote-sensing images, Computer vision, Data integrity

Advancing adversarial and LLM robustness in trustworthy AI: a comprehensive survey.

Authors: Tang, Qingzhe Qian, Jingwei Du, Xiaozhi et al.

Source: Artificial Intelligence Review. Jul2026, Vol. 59 Issue 7, p1-51. 51p.

Subjects: Adversarial machine learning, Language models, Statistical reliability, Artificial intelligence

Artificial intelligence in cybersecurity opportunity, risk and ethical concerns.

Authors: E., Seethal Prince B., Archana A. Ramaprabha, T.

Source: Advances in Consumer Research. Feb2026, Vol. 3 Issue 2, p115-123. 9p.

Network Perturbation Using GA-Based Local Structure Mutation Strategy.

Authors: Vung, Cing Gel Hlaing, Yi Yi

Source: IAENG International Journal of Computer Science; Jul2026, Vol. 53 Issue 7, p2645-2658, 14p

A federated learning-based dual-filtering solution to combat data poisoning attacks in medical image classification.

Authors: Zheng, Pengzhan Zhou, Yuping Yu, Xiaolong et al.

Source: Bulletin of the National Research Centre. 6/29/2026, Vol. 50 Issue 1, p1-23. 23p.

Robust Segmentation of Mangrove in Remote Sensing Images via ODE-Based Neural Networks and Adversarial Training.

Authors: Yu, Hao Pan, Xiaoyan Wu, Tingtian et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5812, 22p

MVSE: Low-Resource Language Robust Content Detection Based on Multi-View Semantic Anchoring.

Authors: Cairang, Zhongge Jiancuo, Saile Hua, Cai et al.

Source: KSII Transactions on Internet & Information Systems; Jun2026, Vol. 20 Issue 6, p2976-2992, 17p

A Noise-Resilient Attention Guided Contrastive Learning Framework for Phishing Email Detection.

Authors: Gueddoudj, El Yazid Attia, Abdelouahab Chikh, Azeddine

Source: International Journal of Performability Engineering; Jun2026, Vol. 22 Issue 6, p297-308, 12p

Adversarial Attacks Against World Models: Hallucination-Driven Policy Failure.

Authors: Zhang, Junjian Tan, Hao Li, Ruonan et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5484, 21p

GADD: Game-Inspired Adversarial Distillation for Robust Graph Defense.

Authors: Peng, Yabin Zhou, Chenyu Liu, Yuchen et al.

Source: Information. Jun2026, Vol. 17 Issue 6, p527. 20p.

A Multi-Seed Analysis of Adversarial Vulnerability in BiLSTM Continuous Authentication.

Authors: Mahfouz, Ahmed Al Husaini, Mohammed Abdulla Salim Ismaeel, Alaa A. K. et al.

Source: Future Internet. Jun2026, Vol. 18 Issue 6, p332. 26p.

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection.

Authors: Saha, Sudip Pervaiz, Muhammad Arslan Rahman, Muhammad Safwat et al.

Source: PLoS ONE. 6/1/2026, Vol. 21 Issue 6, p1-26. 26p.

AMGAA: Attention-Guided Multi-Target Generative Adversarial Attack for Vision Transformers.

Authors: Ou, Dongbo Lu, Jintian Zhou, Shihui et al.

Source: Entropy. Jun2026, Vol. 28 Issue 6, p680. 18p.

Semantic-Preserving Multi-Object Coexistence: A Backdoor Attack on Text-to-Image Diffusion Models.

Authors: Yang, Zhoufan Ning, Honghui Pan, Yimeng et al.

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 11, p1874. 24p.

A Unified Framework Based on Distribution Shift Modeling for Revealing and Eliminating Backdoor Attacks in Diffusion Models.

Authors: Yang, Kairui Gu, Xu An, Fanglin et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p5077, 23p

Multi-Vector Adversarial Testing of an AI-Orchestrated Zero Trust Methodology on Constrained Edge Hardware.

Authors: Coston, Ian Matthew Campbell Hezel, Karl David Plotnizky, Eadan et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4809, 73p