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
FLAG: Finding Line Anomalies (in code) with Generative AI
Authors: Baleegh Ahmad, Benjamin Tan, Ramesh Karri, Hammond Pearce | Published: 2023-06-22
Do you still need a manual smart contract audit?
Authors: Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, Arthur Gervais | Published: 2023-06-21 | Updated: 2023-06-22
Cryptographic ransomware encryption detection: Survey
Authors: Kenan Begovic, Abdulaziz Al-Ali, Qutaibah Malluhi | Published: 2023-06-21