Adversarial Learning

Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings

Authors: Roberto Doriguzzi-Corin, Petr Sabel, Silvio Cretti, Silvio Ranise | Published: 2025-09-22
Client Selection Method
Adversarial Learning
Federated Learning

Sy-FAR: Symmetry-based Fair Adversarial Robustness

Authors: Haneen Najjar, Eyal Ronen, Mahmood Sharif | Published: 2025-09-16
Ensuring Fairness
Adversarial Learning
evaluation metrics

EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning

Authors: Zhen Li, Zijian Zhang, Wenjin Yang, Pengbo Wang, Zhaoqi Wang, Meng Li, Yan Wu, Xuyang Liu, Jing Sun, Liehuang Zhu | Published: 2025-09-16
Secure Aggregation
Differential Privacy
Adversarial Learning

Imitative Membership Inference Attack

Authors: Yuntao Du, Yuetian Chen, Hanshen Xiao, Bruno Ribeiro, Ninghui Li | Published: 2025-09-08
Experimental Validation
Attack Method
Adversarial Learning

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

Authors: Lincan Li, Bolin Shen, Chenxi Zhao, Yuxiang Sun, Kaixiang Zhao, Shirui Pan, Yushun Dong | Published: 2025-08-27
Model Extraction Attack
Adversarial Learning
Intellectual Property Protection

Intrusion Detection in Heterogeneous Networks with Domain-Adaptive Multi-Modal Learning

Authors: Mabin Umman Varghese, Zahra Taghiyarrenani | Published: 2025-08-05
データセットの多様性
Adversarial Learning
Deep Learning Model

On Reconstructing Training Data From Bayesian Posteriors and Trained Models

Authors: George Wynne | Published: 2025-07-24
Reconstruction Attack
Adversarial Learning
Watermark Evaluation

Unsourced Adversarial CAPTCHA: A Bi-Phase Adversarial CAPTCHA Framework

Authors: Xia Du, Xiaoyuan Liu, Jizhe Zhou, Zheng Lin, Chi-man Pun, Zhe Chen, Wei Ni, Jun Luo | Published: 2025-06-12
Certified Robustness
Adversarial Learning
Adversarial Attack Detection

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective

Authors: Ning Zhang, Henry Kenlay, Li Zhang, Mihai Cucuringu, Xiaowen Dong | Published: 2025-06-01 | Updated: 2025-06-03
Dynamic Graph Processing
Adversarial Learning
Optimization Problem

Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization

Authors: Chengcan Wu, Zhixin Zhang, Zeming Wei, Yihao Zhang, Meng Sun | Published: 2025-05-22
LLM Security
Alignment
Adversarial Learning