IoT Device Labeling Using Large Language Models
Authors: Bar Meyuhas, Anat Bremler-Barr, Tal Shapira | Published: 2024-03-03
Literature Database
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
Employing LLMs for Incident Response Planning and Review
Authors: Sam Hays, Jules White | Published: 2024-03-02
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Authors: Qi Tan, Qi Li, Yi Zhao, Zhuotao Liu, Xiaobing Guo, Ke Xu | Published: 2024-03-02
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
Authors: Jiacen Xu, Jack W. Stokes, Geoff McDonald, Xuesong Bai, David Marshall, Siyue Wang, Adith Swaminathan, Zhou Li | Published: 2024-03-02
BasedAI: A decentralized P2P network for Zero Knowledge Large Language Models (ZK-LLMs)
Authors: Sean Wellington | Published: 2024-03-01
Transfer Learning for Security: Challenges and Future Directions
Authors: Adrian Shuai Li, Arun Iyengar, Ashish Kundu, Elisa Bertino | Published: 2024-03-01
Differentially Private Knowledge Distillation via Synthetic Text Generation
Authors: James Flemings, Murali Annavaram | Published: 2024-03-01 | Updated: 2024-06-05