Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm
Authors: Jaehan Kim, Minkyoo Song, Seung Ho Na, Seungwon Shin | Published: 2024-09-21 | Updated: 2024-10-06
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Authors: Jiliang Li, Yifan Zhang, Yu Huang, Kevin Leach | Published: 2024-09-20 | Updated: 2025-04-15
Extracting Memorized Training Data via Decomposition
Authors: Ellen Su, Anu Vellore, Amy Chang, Raffaele Mura, Blaine Nelson, Paul Kassianik, Amin Karbasi | Published: 2024-09-18 | Updated: 2024-10-01
Artemis: Efficient Commit-and-Prove SNARKs for zkML
Authors: Hidde Lycklama, Alexander Viand, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi | Published: 2024-09-18
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