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
敵対的学習
Intrusion Detection in Heterogeneous Networks with Domain-Adaptive Multi-Modal Learning
Authors: Mabin Umman Varghese, Zahra Taghiyarrenani | Published: 2025-08-05
On Reconstructing Training Data From Bayesian Posteriors and Trained Models
Authors: George Wynne | Published: 2025-07-24
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
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
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
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
Authors: Hossein Khalili, Seongbin Park, Venkat Bollapragada, Nader Sehatbakhsh | Published: 2025-05-22
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Authors: Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki | Published: 2025-05-20
FlowPure: Continuous Normalizing Flows for Adversarial Purification
Authors: Elias Collaert, Abel Rodríguez, Sander Joos, Lieven Desmet, Vera Rimmer | Published: 2025-05-19
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems
Authors: Mostafa Jafari, Alireza Shameli-Sendi | Published: 2025-05-14