SODA: Protecting Proprietary Information in On-Device Machine Learning Models
Authors: Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant Shenoy | Published: 2023-12-22
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning
Authors: Youssef Allouah, Rachid Guerraoui, John Stephan | Published: 2023-12-22 | Updated: 2024-03-11
ChatGPT, Llama, can you write my report? An experiment on assisted digital forensics reports written using (Local) Large Language Models
Authors: Gaëtan Michelet, Frank Breitinger | Published: 2023-12-22
MetaAID 2.5: A Secure Framework for Developing Metaverse Applications via Large Language Models
Authors: Hongyin Zhu | Published: 2023-12-22
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
Authors: Janvi Thakkar, Giulio Zizzo, Sergio Maffeis | Published: 2023-12-21 | Updated: 2024-01-07
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration
Authors: Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard | Published: 2023-12-21 | Updated: 2024-06-10
An Approach to Abstract Multi-stage Cyberattack Data Generation for ML-Based IDS in Smart Grids
Authors: Ömer Sen, Philipp Malskorn, Simon Glomb, Immanuel Hacker, Martin Henze, Andreas Ulbig | Published: 2023-12-21
A Learning oriented DLP System based on Classification Model
Authors: Kishu Gupta, Ashwani Kush | Published: 2023-12-21
Benchmark Evaluation of Anomaly-Based Intrusion Detection Systems in the Context of Smart Grids
Authors: Ömer Sen, Simon Glomb, Martin Henze, Andreas Ulbig | Published: 2023-12-21
Investigation of Multi-stage Attack and Defense Simulation for Data Synthesis
Authors: Ömer Sen, Bozhidar Ivanov, Martin Henze, Andreas Ulbig | Published: 2023-12-21