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
ウォーターマーキング
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
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space
Authors: Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu | Published: 2023-02-23
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Authors: Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu | Published: 2023-02-22 | Updated: 2023-04-06
Generalization Bounds for Adversarial Contrastive Learning
Authors: Xin Zou, Weiwei Liu | Published: 2023-02-21
Certified private data release for sparse Lipschitz functions
Authors: Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang | Published: 2023-02-19 | Updated: 2023-08-28