Machine Learning in Digital Forensics: A Systematic Literature Review
Authors: Tahereh Nayerifard, Haleh Amintoosi, Abbas Ghaemi Bafghi, Ali Dehghantanha | Published: 2023-06-08
ウォーターマーキング
Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks
Authors: Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D. Dimou, Peter A. Beerel | Published: 2023-06-08 | Updated: 2023-06-13
Hardness of Deceptive Certificate Selection
Authors: Stephan Wäldchen | Published: 2023-06-07
Human-imperceptible, Machine-recognizable Images
Authors: Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao | Published: 2023-06-06
Machine Unlearning: A Survey
Authors: Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu | Published: 2023-06-06
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Authors: Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello | Published: 2023-05-01 | Updated: 2024-08-14
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference
Authors: Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel | Published: 2023-04-26
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks
Authors: Isabell Lederer, Rudolf Mayer, Andreas Rauber | Published: 2023-04-22
Understanding Overfitting in Adversarial Training via Kernel Regression
Authors: Teng Zhang, Kang Li | Published: 2023-04-13 | Updated: 2023-04-19
Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators
Authors: Hongye Xu, Dongfang Liu, Cory Merkel, Michael Zuzak | Published: 2023-04-12 | Updated: 2023-04-14