PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach

Authors: Zhihao Lin, Wei Ma, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Yang Liu, Jun Wang, Li Li | Published: 2024-09-21 | Updated: 2024-10-03

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