Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models
Authors: Linzhi Chen, Yang Sun, Hongru Wei, Yuqi Chen | Published: 2025-12-22
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PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
Authors: Yi Liu, Weixiang Han, Chengjun Cai, Xingliang Yuan, Cong Wang | Published: 2025-12-09
Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic
Authors: Mostafa Mozafari, Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri | Published: 2025-11-24
The ‘Sure’ Trap: Multi-Scale Poisoning Analysis of Stealthy Compliance-Only Backdoors in Fine-Tuned Large Language Models
Authors: Yuting Tan, Yi Huang, Zhuo Li | Published: 2025-11-16
RHINO: Guided Reasoning for Mapping Network Logs to Adversarial Tactics and Techniques with Large Language Models
Authors: Fanchao Meng, Jiaping Gui, Yunbo Li, Yue Wu | Published: 2025-10-16
Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers
Authors: Xin Zhao, Xiaojun Chen, Bingshan Liu, Haoyu Gao, Zhendong Zhao, Yilong Chen | Published: 2025-10-15
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
Authors: Daniel Pulido-Cortázar, Daniel Gibert, Felip Manyà | Published: 2025-10-14
New Machine Learning Approaches for Intrusion Detection in ADS-B
Authors: Mikaëla Ngamboé, Jean-Simon Marrocco, Jean-Yves Ouattara, José M. Fernandez, Gabriela Nicolescu | Published: 2025-10-09
A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs
Authors: Kiho Lee, Jungkon Kim, Doowon Kim, Hyoungshick Kim | Published: 2025-09-16
CryptPEFT: Efficient and Private Neural Network Inference via Parameter-Efficient Fine-Tuning
Authors: Saisai Xia, Wenhao Wang, Zihao Wang, Yuhui Zhang, Yier Jin, Dan Meng, Rui Hou | Published: 2025-08-17 | Updated: 2025-11-06