Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Authors: Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas | Published: 2024-03-06
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Authors: Zahir Alsulaimawi | Published: 2024-03-05
Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees
Authors: Ehsan Nowroozi, Nada Jadalla, Samaneh Ghelichkhani, Alireza Jolfaei | Published: 2024-03-05
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Authors: Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti | Published: 2024-03-05
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Authors: Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang | Published: 2024-03-05 | Updated: 2024-08-04
Catch’em all: Classification of Rare, Prominent, and Novel Malware Families
Authors: Maksim E. Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Rasmussen, Boian S. Alexandrov, Charles Nicholas | Published: 2024-03-04
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
Authors: Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Hoon Wei Lim, Bryan Hooi | Published: 2024-03-04 | Updated: 2024-06-15
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
Authors: Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang | Published: 2024-03-04
Unveiling Hidden Links Between Unseen Security Entities
Authors: Daniel Alfasi, Tal Shapira, Anat Bremler Barr | Published: 2024-03-04
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes
Authors: Hiroaki Maeshima, Akira Otsuka | Published: 2024-03-04 | Updated: 2025-03-19