ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching
Authors: M. Caner Tol, Berk Sunar | Published: 2023-08-24
Literature Database
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
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD
Authors: Moritz Knolle, Robert Dorfman, Alexander Ziller, Daniel Rueckert, Georgios Kaissis | Published: 2023-08-23
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation
Authors: Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen | Published: 2023-08-22