Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
Authors: Leonid Legashev, Artur Zhigalov, Denis Parfenov | Published: 2025-05-01
Poisoning
Data Encryption Battlefield: A Deep Dive into the Dynamic Confrontations in Ransomware Attacks
Authors: Arash Mahboubi, Hamed Aboutorab, Seyit Camtepe, Hang Thanh Bui, Khanh Luong, Keyvan Ansari, Shenlu Wang, Bazara Barry | Published: 2025-04-29
Optimizing ML Training with Metagradient Descent
Authors: Logan Engstrom, Andrew Ilyas, Benjamin Chen, Axel Feldmann, William Moses, Aleksander Madry | Published: 2025-03-17
Provably effective detection of effective data poisoning attacks
Authors: Jonathan Gallagher, Yasaman Esfandiari, Callen MacPhee, Michael Warren | Published: 2025-01-21
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
Authors: Ahmed Ayoub Bellachia, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane, Mourad Rabah | Published: 2025-01-08
Mingling with the Good to Backdoor Federated Learning
Authors: Nuno Neves | Published: 2025-01-03
A Backdoor Attack Scheme with Invisible Triggers Based on Model Architecture Modification
Authors: Yuan Ma, Xu Ma, Jiankang Wei, Jinmeng Tang, Xiaoyu Zhang, Yilun Lyu, Kehao Chen, Jingtong Huang | Published: 2024-12-22 | Updated: 2025-01-06
Adversarially robust generalization theory via Jacobian regularization for deep neural networks
Authors: Dongya Wu, Xin Li | Published: 2024-12-17
GLL: A Differentiable Graph Learning Layer for Neural Networks
Authors: Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Jeff Calder, Andrea L. Bertozzi | Published: 2024-12-11
Optimal Defenses Against Gradient Reconstruction Attacks
Authors: Yuxiao Chen, Gamze Gürsoy, Qi Lei | Published: 2024-11-06