Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review

Authors: Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Nasrin Dehbozorgi, Nazmus Sakib, Quan Z. Sheng | Published: 2023-08-26

Active learning for fast and slow modeling attacks on Arbiter PUFs

Authors: Vincent Dumoulin, Wenjing Rao, Natasha Devroye | Published: 2023-08-25

ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching

Authors: M. Caner Tol, Berk Sunar | Published: 2023-08-24

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Authors: Maximilian Mozes, Xuanli He, Bennett Kleinberg, Lewis D. Griffin | Published: 2023-08-24

Vulnerability Clustering and other Machine Learning Applications of Semantic Vulnerability Embeddings

Authors: Mark-Oliver Stehr, Minyoung Kim | Published: 2023-08-23

Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Authors: Fredrik Heiding, Bruce Schneier, Arun Vishwanath, Jeremy Bernstein, Peter S. Park | Published: 2023-08-23 | Updated: 2023-11-30

ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy

Authors: Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa | Published: 2023-08-23 | Updated: 2024-06-16

Unsupervised anomalies detection in IIoT edge devices networks using federated learning

Authors: Niyomukiza Thamar, Hossam Samy Elsaid Sharara | Published: 2023-08-23

Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments

Authors: Maria Rigaki, Ondřej Lukáš, Carlos A. Catania, Sebastian Garcia | Published: 2023-08-23 | Updated: 2023-08-28

Sample Complexity of Robust Learning against Evasion Attacks

Authors: Pascale Gourdeau | Published: 2023-08-23