Literature Database

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA

Authors: JianHao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang | Published: 2024-06-16
Watermarking
Privacy Protection Method
Quantization and Privacy

Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs

Authors: Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou | Published: 2024-06-16
Privacy Protection Method
Membership Inference
Model Performance Evaluation

Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach

Authors: Orson Mengara | Published: 2024-06-15 | Updated: 2024-09-16
Backdoor Attack
Financial Intelligence

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Authors: Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen | Published: 2024-06-15
LLM Security
Prompt Injection
Poisoning

RMF: A Risk Measurement Framework for Machine Learning Models

Authors: Jan Schröder, Jakub Breier | Published: 2024-06-15
Backdoor Attack
Poisoning
Risk Management

Speed-up of Data Analysis with Kernel Trick in Encrypted Domain

Authors: Joon Soo Yoo, Baek Kyung Song, Tae Min Ahn, Ji Won Heo, Ji Won Yoon | Published: 2024-06-14
Watermarking
Computational Efficiency
Computational Complexity

Privacy-preserving Quantification of Non-IID Degree in Federated Learning

Authors: Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin | Published: 2024-06-14
Integration of FL and HE
Watermarking
Cryptography

DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation

Authors: A B M Ashikur Rahman, Saeed Anwar, Muhammad Usman, Ajmal Mian | Published: 2024-06-13
Hallucination
Model Evaluation
Bias in Training Data

RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs

Authors: Xuan Chen, Yuzhou Nie, Lu Yan, Yunshu Mao, Wenbo Guo, Xiangyu Zhang | Published: 2024-06-13
LLM Security
Prompt Injection
Reinforcement Learning

Noise-Aware Differentially Private Regression via Meta-Learning

Authors: Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner | Published: 2024-06-12 | Updated: 2025-05-08
Watermarking
Data Privacy Assessment
Privacy Protection Method