Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
Authors: Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira | Published: 2024-07-16 | Updated: 2024-10-04
攻撃の評価
GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction
Authors: Emad Efatinasab, Alessandro Brighente, Mirco Rampazzo, Nahal Azadi, Mauro Conti | Published: 2024-05-20
Manipulating hidden-Markov-model inferences by corrupting batch data
Authors: William N. Caballero, Jose Manuel Camacho, Tahir Ekin, Roi Naveiro | Published: 2024-02-19
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
Authors: Marco Cantone, Claudio Marrocco, Alessandro Bria | Published: 2024-02-15
A Novel Evaluation Framework for Assessing Resilience Against Prompt Injection Attacks in Large Language Models
Authors: Daniel Wankit Yip, Aysan Esmradi, Chun Fai Chan | Published: 2024-01-02
Label-Only Model Inversion Attacks via Knowledge Transfer
Authors: Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung | Published: 2023-10-30
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Authors: Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang | Published: 2023-10-19
Attack Prompt Generation for Red Teaming and Defending Large Language Models
Authors: Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He | Published: 2023-10-19
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
Authors: Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem | Published: 2023-10-17
BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries
Authors: Wenjie Lv, Zhen Wang, Yitao Zheng, Zhehua Zhong, Qi Xuan, Tianyi Chen | Published: 2023-10-14