A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
Authors: Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique | Published: 2023-08-10 | Updated: 2023-10-12
Performance Evaluation
Random-Set Neural Networks (RS-NN)
Authors: Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin | Published: 2023-07-11 | Updated: 2025-02-14
ConFL: Constraint-guided Fuzzing for Machine Learning Framework
Authors: Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang | Published: 2023-07-11
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
Authors: Niklas Risse, Marcel Böhme | Published: 2023-06-28 | Updated: 2024-06-06
An Intelligent Mechanism for Monitoring and Detecting Intrusions in IoT Devices
Authors: Vitalina Holubenko, Paulo Silva, Carlos Bento | Published: 2023-06-23
When Vision Fails: Text Attacks Against ViT and OCR
Authors: Nicholas Boucher, Jenny Blessing, Ilia Shumailov, Ross Anderson, Nicolas Papernot | Published: 2023-06-12
Augmenting Greybox Fuzzing with Generative AI
Authors: Jie Hu, Qian Zhang, Heng Yin | Published: 2023-06-11
Efficient Skip Connections Realization for Secure Inference on Encrypted Data
Authors: Nir Drucker, Itamar Zimerman | Published: 2023-06-11
KeyDetect –Detection of anomalies and user based on Keystroke Dynamics
Authors: Soumyatattwa Kar, Abhishek Bamotra, Bhavya Duvvuri, Radhika Mohanan | Published: 2023-04-08
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks
Authors: Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza | Published: 2023-03-28 | Updated: 2023-07-27