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
ウォーターマーキング
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
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Authors: Zhibo Xing, Zijian Zhang, Meng Li, Jiamou Liu, Liehuang Zhu, Giovanni Russello, Muhammad Rizwan Asghar | Published: 2023-04-12 | Updated: 2023-04-24
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism
Authors: Sohan Salahuddin Mugdho, Hafiz Imtiaz | Published: 2023-04-11
AI Model Disgorgement: Methods and Choices
Authors: Alessandro Achille, Michael Kearns, Carson Klingenberg, Stefano Soatto | Published: 2023-04-07
When approximate design for fast homomorphic computation provides differential privacy guarantees
Authors: Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler | Published: 2023-04-06
Leveraging Deep Learning Approaches for Deepfake Detection: A Review
Authors: Aniruddha Tiwari, Rushit Dave, Mounika Vanamala | Published: 2023-04-04
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity
Authors: Khatoon Mohammed | Published: 2023-02-24 | Updated: 2024-03-02