Hard-Label Cryptanalytic Extraction of Neural Network Models
Authors: Yi Chen, Xiaoyang Dong, Jian Guo, Yantian Shen, Anyu Wang, Xiaoyun Wang | Published: 2024-09-18
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Authors: Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi Madduri | Published: 2024-09-17
Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments
Authors: Maria Rigaki, Carlos Catania, Sebastian Garcia | Published: 2024-09-17
Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach
Authors: Kyle Stein, Andrew A. Mahyari, Guillermo Francia III, Eman El-Sheikh | Published: 2024-09-17
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities
Authors: Zikai Zhang, Suman Rath, Jiaohao Xu, Tingsong Xiao | Published: 2024-09-16
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications
Authors: Jessica Smith, David Williams, Emily Brown | Published: 2024-09-16
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble
Authors: Jonathan Rosenthal, Shanchao Liang, Kevin Zhang, Lin Tan | Published: 2024-09-16
A Large-Scale Privacy Assessment of Android Third-Party SDKs
Authors: Mark Huasong Meng, Chuan Yan, Yun Hao, Qing Zhang, Zeyu Wang, Kailong Wang, Sin Gee Teo, Guangdong Bai, Jin Song Dong | Published: 2024-09-16
ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts
Authors: Che Wang, Jiashuo Zhang, Jianbo Gao, Libin Xia, Zhi Guan, Zhong Chen | Published: 2024-09-15
Hacking, The Lazy Way: LLM Augmented Pentesting
Authors: Dhruva Goyal, Sitaraman Subramanian, Aditya Peela | Published: 2024-09-14