On Reconstructing Training Data From Bayesian Posteriors and Trained Models
Authors: George Wynne | Published: 2025-07-24
Adversarial Learning
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
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
Authors: Zihan Wang, Hongwei Li, Rui Zhang, Wenbo Jiang, Kangjie Chen, Tianwei Zhang, Qingchuan Zhao, Guowen Xu | Published: 2025-05-06
Bayesian Robust Aggregation for Federated Learning
Authors: Aleksandr Karakulev, Usama Zafar, Salman Toor, Prashant Singh | Published: 2025-05-05