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
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs
Authors: Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jorg Henkel, Mehdi Tahoori | Published: 2024-03-04
DECOR: Enhancing Logic Locking Against Machine Learning-Based Attacks
Authors: Yinghua Hu, Kaixin Yang, Subhajit Dutta Chowdhury, Pierluigi Nuzzo | Published: 2024-03-04
Using LLMs for Tabletop Exercises within the Security Domain
Authors: Sam Hays, Jules White | Published: 2024-03-03
IoT Device Labeling Using Large Language Models
Authors: Bar Meyuhas, Anat Bremler-Barr, Tal Shapira | Published: 2024-03-03
Enhancing Data Provenance and Model Transparency in Federated Learning Systems — A Database Approach
Authors: Michael Gu, Ramasoumya Naraparaju, Dongfang Zhao | Published: 2024-03-03
Analysis of Privacy Leakage in Federated Large Language Models
Authors: Minh N. Vu, Truc Nguyen, Tre' R. Jeter, My T. Thai | Published: 2024-03-02
A Photonic Physically Unclonable Function’s Resilience to Multiple-Valued Machine Learning Attacks
Authors: Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton | Published: 2024-03-02