Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
Authors: Thusitha Dayaratne, Ngoc Duy Pham, Viet Vo, Shangqi Lai, Sharif Abuadbba, Hajime Suzuki, Xingliang Yuan, Carsten Rudolph | Published: 2025-08-11
Framework
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
Authors: Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi Madduri, Suren Byna | Published: 2025-05-28 | Updated: 2025-08-11
LLM-IFT: LLM-Powered Information Flow Tracking for Secure Hardware
Authors: Nowfel Mashnoor, Mohammad Akyash, Hadi Kamali, Kimia Azar | Published: 2025-04-09
Secure On-Device Video OOD Detection Without Backpropagation
Authors: Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao | Published: 2025-03-08 | Updated: 2025-03-17
EVA-S2PLoR: A Secure Element-wise Multiplication Meets Logistic Regression on Heterogeneous Database
Authors: Tianle Tao, Shizhao Peng, Tianyu Mei, Shoumo Li, Haogang Zhu | Published: 2025-01-09 | Updated: 2025-01-13
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
Authors: Runhua Xu, Bo Li, Chao Li, James B. D. Joshi, Shuai Ma, Jianxin Li | Published: 2025-01-09
AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
Authors: Meryem Malak Dif, Mouhamed Amine Bouchiha, Mourad Rabah, Yacine Ghamri-Doudane | Published: 2025-01-08
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
Authors: Ahmed Ayoub Bellachia, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane, Mourad Rabah | Published: 2025-01-08
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
Authors: Yinpeng Cai, Lexin Li, Linjun Zhang | Published: 2025-01-05
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
Authors: Yanjiang Liu, Shuhen Zhou, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Hongyu Lin, Ben He, Xianpei Han, Le Sun | Published: 2025-01-03