ADVENT: Attack/Anomaly Detection in VANETs
Authors: Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood | Published: 2024-01-16
X Hacking: The Threat of Misguided AutoML
Authors: Rahul Sharma, Sergey Redyuk, Sumantrak Mukherjee, Andrea Sipka, Sebastian Vollmer, David Selby | Published: 2024-01-16 | Updated: 2024-02-12
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
Authors: Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee Wei Tan, Kwok-Yan Lam | Published: 2024-01-16 | Updated: 2024-01-19
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Authors: Xintao Xia, Linjun Zhang, Zhanrui Cai | Published: 2024-01-16
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
Authors: Thanh Nguyen Canh, Xiem HoangVan | Published: 2024-01-16
ADMIn: Attacks on Dataset, Model and Input. A Threat Model for AI Based Software
Authors: Vimal Kumar, Juliette Mayo, Khadija Bahiss | Published: 2024-01-15
Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications
Authors: Xuchen Suo | Published: 2024-01-15
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning
Authors: Rahul Vishwakarma, Amin Rezaei | Published: 2024-01-15 | Updated: 2024-01-23
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning
Authors: William Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2024-01-15
A Novel Zero-Trust Machine Learning Green Architecture for Healthcare IoT Cybersecurity: Review, Analysis, and Implementation
Authors: Zag ElSayed, Nelly Elsayed, Sajjad Bay | Published: 2024-01-14