A Privacy-Preserving Federated Learning Approach for Kernel methods
Authors: Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün | Published: 2023-06-05
文献データベース
Building Resilient SMEs: Harnessing Large Language Models for Cyber Security in Australia
Authors: Benjamin Kereopa-Yorke | Published: 2023-06-05
Poisoning Network Flow Classifiers
Authors: Giorgio Severi, Simona Boboila, Alina Oprea, John Holodnak, Kendra Kratkiewicz, Jason Matterer | Published: 2023-06-02
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization
Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2023-06-02 | Updated: 2023-06-23
PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Authors: Javier Rando, Fernando Perez-Cruz, Briland Hitaj | Published: 2023-06-02 | Updated: 2023-06-14
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Authors: Zonghan Yang, Tianyu Pang, Yang Liu | Published: 2023-06-02
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks
Authors: Jiyi Zhang, Han Fang, Ee-Chien Chang | Published: 2023-06-02
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking
Authors: Junchuan Liang, Rong Wang | Published: 2023-06-02
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
Authors: Hossein Aboutalebi, Dayou Mao, Rongqi Fan, Carol Xu, Chris He, Alexander Wong | Published: 2023-06-02 | Updated: 2024-05-23
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
Authors: Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang, Muhyun Kim, Feng Chen, Murat Kantarcioglu, Kangkook Jee | Published: 2023-06-01 | Updated: 2025-09-22