When Secure Isn’t: Assessing the Security of Machine Learning Model Sharing
Authors: Gabriele Digregorio, Marco Di Gennaro, Stefano Zanero, Stefano Longari, Michele Carminati | Published: 2025-09-08
モデル抽出攻撃の検知
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models
Authors: Xueqi Cheng, Minxing Zheng, Shixiang Zhu, Yushun Dong | Published: 2025-06-03
Instance-Level Data-Use Auditing of Visual ML Models
Authors: Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter | Published: 2025-03-28 | Updated: 2025-09-16
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Authors: Awa Khouna, Julien Ferry, Thibaut Vidal | Published: 2025-02-07 | Updated: 2025-07-08
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Authors: Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz | Published: 2019-06-26 | Updated: 2020-03-03
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning
Authors: Sagar Sharma, Keke Chen | Published: 2019-02-05 | Updated: 2019-04-19
Prior Networks for Detection of Adversarial Attacks
Authors: Andrey Malinin, Mark Gales | Published: 2018-12-06
Model-Reuse Attacks on Deep Learning Systems
Authors: Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2018-12-02
Bridging machine learning and cryptography in defence against adversarial attacks
Authors: Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy | Published: 2018-09-05
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
Authors: Dorjan Hitaj, Luigi V. Mancini | Published: 2018-09-03