Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Authors: Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz | Published: 2019-06-26 | Updated: 2020-03-03
モデル抽出攻撃の検知
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
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Authors: Mengjia Yan, Christopher Fletcher, Josep Torrellas | Published: 2018-08-14
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Authors: Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla Al-Ali, Xiaojiang Du, Mohsen Guizani | Published: 2018-07-29
Algorithms that Remember: Model Inversion Attacks and Data Protection Law
Authors: Michael Veale, Reuben Binns, Lilian Edwards | Published: 2018-07-12 | Updated: 2018-10-15
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations
Authors: Taesung Lee, Benjamin Edwards, Ian Molloy, Dong Su | Published: 2018-05-31 | Updated: 2018-12-13