Reconstructing Training Data from Trained Neural Networks
Authors: Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani | Published: 2022-06-15 | Updated: 2022-12-05
性能評価指標
Learn to Adapt: Robust Drift Detection in Security Domain
Authors: Aditya Kuppa, Nhien-An Le-Khac | Published: 2022-06-15
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing
Authors: Helio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia C. Fernandes | Published: 2022-05-23
Threat Detection for General Social Engineering Attack Using Machine Learning Techniques
Authors: Zuoguang Wang, Yimo Ren, Hongsong Zhu, Limin Sun | Published: 2022-03-15 | Updated: 2022-03-17
SmartValidator: A Framework for Automatic Identification and Classification of Cyber Threat Data
Authors: Chadni Islam, M. Ali Babar, Roland Croft, Helge Janicke | Published: 2022-03-15
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Authors: Ga Wu, Masoud Hashemi, Christopher Srinivasa | Published: 2022-03-02
ML Supported Predictions for SAT Solvers Performance
Authors: A. -M. Leventi-Peetz, Jörg-Volker Peetz, Martina Rohde | Published: 2021-12-17
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction
Authors: Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu | Published: 2021-12-14
Membership Inference Attacks From First Principles
Authors: Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, Florian Tramer | Published: 2021-12-07 | Updated: 2022-04-12
Federated Learning with Heterogeneous Differential Privacy
Authors: Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami | Published: 2021-10-28 | Updated: 2023-01-14