Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Authors: Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli | Published: 2024-02-27 | Updated: 2025-05-29
Adversarial Learning
Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
Authors: Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Qian Wang, Chao Shen | Published: 2023-10-18 | Updated: 2025-09-16
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
Authors: Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Yu-Yang Liu, Li Yuan | Published: 2023-10-02 | Updated: 2024-08-04
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems
Authors: Ibrahim Aliyu, Selinde van Engelenburg, Muhammed Bashir Muazu, Jinsul Kim, Chang Gyoon Lim | Published: 2022-07-11
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
Authors: Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov | Published: 2022-07-04
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound
Authors: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth | Published: 2022-06-29 | Updated: 2023-05-31
Private Graph Extraction via Feature Explanations
Authors: Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla | Published: 2022-06-29 | Updated: 2023-11-02
A Framework for Understanding Model Extraction Attack and Defense
Authors: Xun Xian, Mingyi Hong, Jie Ding | Published: 2022-06-23
ROSE: A RObust and SEcure DNN Watermarking
Authors: Kassem Kallas, Teddy Furon | Published: 2022-06-22
The Privacy Onion Effect: Memorization is Relative
Authors: Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang, Nicolas Papernot, Andreas Terzis, Florian Tramer | Published: 2022-06-21 | Updated: 2022-06-22