Steganographic Capacity of Deep Learning Models
Authors: Lei Zhang, Dong Li, Olha Jurečková, Mark Stamp | Published: 2023-06-25
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Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Authors: Ziqin Chen, Yongqiang Wang | Published: 2023-06-25 | Updated: 2024-08-23
Federated Learning Approach for Distributed Ransomware Analysis
Authors: Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno | Published: 2023-06-25
On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions
Authors: Reza Fayyazi, Shanchieh Jay Yang | Published: 2023-06-24 | Updated: 2023-08-22
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks
Authors: Pranav Dahiya, Ilia Shumailov, Ross Anderson | Published: 2023-06-24 | Updated: 2024-02-10
Boosting Model Inversion Attacks with Adversarial Examples
Authors: Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou | Published: 2023-06-24
Creating Valid Adversarial Examples of Malware
Authors: Matouš Kozák, Martin Jureček, Mark Stamp, Fabio Di Troia | Published: 2023-06-23
An Intelligent Mechanism for Monitoring and Detecting Intrusions in IoT Devices
Authors: Vitalina Holubenko, Paulo Silva, Carlos Bento | Published: 2023-06-23
Visual Adversarial Examples Jailbreak Aligned Large Language Models
Authors: Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal | Published: 2023-06-22 | Updated: 2023-08-16
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Authors: Mert Nakıp, Baran Can Gül, Erol Gelenbe | Published: 2023-06-22 | Updated: 2023-11-28